Senior / Lead React AI Engineer Location: London (Hybrid - 3-4 days per week) Salary: 115,000 - 150,000 + Equity + Excellent Benefits Job Type: Permanent Build the Next Generation of AI Products We're partnering with an innovative, fast-growing technology company that's redefining how AI-powered products are built and delivered. This is an exciting opportunity for a Senior / Lead React AI Engineer to join a high-calibre engineering team developing cutting-edge AI applications used by customers globally. You'll play a pivotal role in building intuitive user experiences while integrating the latest advances in Generative AI and agentic systems into production software. The Role As a Senior / Lead React AI Engineer, you'll take ownership of features from concept through to production, working across both the front end and backend to deliver scalable, high-quality applications. Working closely with Product Managers, AI Engineers and Software Engineers, you'll help shape technical direction while building intelligent products that leverage Large Language Models (LLMs) and modern AI tooling. Key Responsibilities Design and develop modern, scalable React applications. Build backend APIs and services using TypeScript and Node.js. Deliver production-ready features across the full software development lifecycle. Integrate AI capabilities, LLMs and agentic workflows into customer-facing products. Collaborate with AI Engineers to build seamless AI-powered user experiences. Champion engineering best practices, testing and code quality. Improve application performance, scalability and reliability. Mentor engineers and contribute to technical leadership across the team. Work closely with cross-functional teams in an Agile environment. About You You'll be an experienced software engineer with a passion for building exceptional products and embracing modern AI technologies. You'll ideally have: 8+ years' commercial software engineering experience. Strong expertise with React and TypeScript . Experience developing backend services using Node.js . Experience building scalable APIs and modern web applications. Strong understanding of software architecture and engineering best practices. Commercial experience working with AWS or Google Cloud Platform (GCP) . Daily use of AI-assisted development tools such as Claude Code, GitHub Copilot or similar. Hands-on experience building or integrating AI-powered applications, LLMs or agentic systems. Excellent communication and stakeholder engagement skills. A proactive mindset with a passion for delivering high-quality software. Desirable Skills Vertex AI Large Language Models (LLMs) Agentic AI Docker CI/CD Infrastructure as Code Microservices Event-driven architecture Technology Stack React TypeScript Node.js AWS Google Cloud Platform (GCP) Vertex AI REST APIs Large Language Models (LLMs) Agentic AI Git CI/CD What's on Offer 115,000 - 130,000 base salary Equity package Hybrid working ( 3-4 days per week in the London office ) 30 days annual leave plus bank holidays Excellent benefits package Work on cutting-edge AI products used by customers around the world High-performing engineering team with genuine ownership and autonomy Excellent opportunities for career growth and technical leadership Eligibility Applicants must be based in the UK and have the full right to work in the UK . Unfortunately, visa sponsorship is not available for this position.
Aug 14, 2026
Full time
Senior / Lead React AI Engineer Location: London (Hybrid - 3-4 days per week) Salary: 115,000 - 150,000 + Equity + Excellent Benefits Job Type: Permanent Build the Next Generation of AI Products We're partnering with an innovative, fast-growing technology company that's redefining how AI-powered products are built and delivered. This is an exciting opportunity for a Senior / Lead React AI Engineer to join a high-calibre engineering team developing cutting-edge AI applications used by customers globally. You'll play a pivotal role in building intuitive user experiences while integrating the latest advances in Generative AI and agentic systems into production software. The Role As a Senior / Lead React AI Engineer, you'll take ownership of features from concept through to production, working across both the front end and backend to deliver scalable, high-quality applications. Working closely with Product Managers, AI Engineers and Software Engineers, you'll help shape technical direction while building intelligent products that leverage Large Language Models (LLMs) and modern AI tooling. Key Responsibilities Design and develop modern, scalable React applications. Build backend APIs and services using TypeScript and Node.js. Deliver production-ready features across the full software development lifecycle. Integrate AI capabilities, LLMs and agentic workflows into customer-facing products. Collaborate with AI Engineers to build seamless AI-powered user experiences. Champion engineering best practices, testing and code quality. Improve application performance, scalability and reliability. Mentor engineers and contribute to technical leadership across the team. Work closely with cross-functional teams in an Agile environment. About You You'll be an experienced software engineer with a passion for building exceptional products and embracing modern AI technologies. You'll ideally have: 8+ years' commercial software engineering experience. Strong expertise with React and TypeScript . Experience developing backend services using Node.js . Experience building scalable APIs and modern web applications. Strong understanding of software architecture and engineering best practices. Commercial experience working with AWS or Google Cloud Platform (GCP) . Daily use of AI-assisted development tools such as Claude Code, GitHub Copilot or similar. Hands-on experience building or integrating AI-powered applications, LLMs or agentic systems. Excellent communication and stakeholder engagement skills. A proactive mindset with a passion for delivering high-quality software. Desirable Skills Vertex AI Large Language Models (LLMs) Agentic AI Docker CI/CD Infrastructure as Code Microservices Event-driven architecture Technology Stack React TypeScript Node.js AWS Google Cloud Platform (GCP) Vertex AI REST APIs Large Language Models (LLMs) Agentic AI Git CI/CD What's on Offer 115,000 - 130,000 base salary Equity package Hybrid working ( 3-4 days per week in the London office ) 30 days annual leave plus bank holidays Excellent benefits package Work on cutting-edge AI products used by customers around the world High-performing engineering team with genuine ownership and autonomy Excellent opportunities for career growth and technical leadership Eligibility Applicants must be based in the UK and have the full right to work in the UK . Unfortunately, visa sponsorship is not available for this position.
Expleo is seeking an experienced AI Practice Lead to establish, grow, and lead our AI consulting and delivery capability across BFSI, Energy & Utilities, and Diversified Industries. This strategic leadership role will shape Expleo's AI vision, build market-leading offerings, mentor highperforming teams, and help clients unlock measurable business value through AI-driven transformation. The successful candidate will combine deep technical expertise with strong consulting and stakeholder management skills, enabling them to engage senior executives while providing practical guidance on the design and delivery of enterprise AI solutions. A senior consulting and technology leader with strong executive presence, deep expertise in Artificial Intelligence and modern data ecosystems, and a proven track record of shaping and delivering large-scale AI transformation programmes. The successful candidate will be comfortable engaging C-suite and senior stakeholders, defining AI strategies, building high-performing teams, and leading complex transformation initiatives across Banking, Financial Services, Insurance, Energy, and Utilities clients. They will combine strategic consulting capability with sufficient technical depth to provide architectural guidance and assurance when required. Lead and grow Expleo's AI Practice Drive strategy, market positioning, capability development, revenue growth, and delivery excellence across BFSI, Energy & Utilities, and Diversified Industries. Shape enterprise AI strategies and transformation programmes Partner with senior client stakeholders to shape and deliver Data, AI and Digital Transformation strategies aligned to measurable business outcomes. Lead AI opportunity discovery and roadmap development Run opportunity discovery workshops, identify high-value use cases, build business cases, and define practical implementation roadmaps. Provide technical leadership across AI technologies Lead across modern AI architectures, Generative AI, Agentic AI, LLMs, RAG, Data Platforms, Cloud AI Services, and enterprise integration patterns. Remain hands-on where required Provide architectural guidance, technical assurance, innovation leadership, and support the resolution of complex delivery challenges. Develop AI offerings and thought leadership Develop industry-specific AI solutions, accelerators, partnerships, thought leadership, and reusable assets. Support business growth and solution shaping Support consultative business development, executive stakeholder engagement, solution shaping, and strategic Data & AI opportunities. Ensure successful programme delivery Ensure strong governance, quality, scalability, business outcomes, and customer satisfaction across Data & AI programmes. Build and develop high-performing teams Build, mentor, and lead AI consultants, architects, data specialists, and engineers, fostering innovation and continuous learning.
Aug 14, 2026
Full time
Expleo is seeking an experienced AI Practice Lead to establish, grow, and lead our AI consulting and delivery capability across BFSI, Energy & Utilities, and Diversified Industries. This strategic leadership role will shape Expleo's AI vision, build market-leading offerings, mentor highperforming teams, and help clients unlock measurable business value through AI-driven transformation. The successful candidate will combine deep technical expertise with strong consulting and stakeholder management skills, enabling them to engage senior executives while providing practical guidance on the design and delivery of enterprise AI solutions. A senior consulting and technology leader with strong executive presence, deep expertise in Artificial Intelligence and modern data ecosystems, and a proven track record of shaping and delivering large-scale AI transformation programmes. The successful candidate will be comfortable engaging C-suite and senior stakeholders, defining AI strategies, building high-performing teams, and leading complex transformation initiatives across Banking, Financial Services, Insurance, Energy, and Utilities clients. They will combine strategic consulting capability with sufficient technical depth to provide architectural guidance and assurance when required. Lead and grow Expleo's AI Practice Drive strategy, market positioning, capability development, revenue growth, and delivery excellence across BFSI, Energy & Utilities, and Diversified Industries. Shape enterprise AI strategies and transformation programmes Partner with senior client stakeholders to shape and deliver Data, AI and Digital Transformation strategies aligned to measurable business outcomes. Lead AI opportunity discovery and roadmap development Run opportunity discovery workshops, identify high-value use cases, build business cases, and define practical implementation roadmaps. Provide technical leadership across AI technologies Lead across modern AI architectures, Generative AI, Agentic AI, LLMs, RAG, Data Platforms, Cloud AI Services, and enterprise integration patterns. Remain hands-on where required Provide architectural guidance, technical assurance, innovation leadership, and support the resolution of complex delivery challenges. Develop AI offerings and thought leadership Develop industry-specific AI solutions, accelerators, partnerships, thought leadership, and reusable assets. Support business growth and solution shaping Support consultative business development, executive stakeholder engagement, solution shaping, and strategic Data & AI opportunities. Ensure successful programme delivery Ensure strong governance, quality, scalability, business outcomes, and customer satisfaction across Data & AI programmes. Build and develop high-performing teams Build, mentor, and lead AI consultants, architects, data specialists, and engineers, fostering innovation and continuous learning.
Senior AI Assurance Consultant London, Manchester or Glasgow / Hybrid 70k - 100k per annum + bonus & benefits Permanent Are you ready to help shape how organisations safely and responsibly adopt AI at enterprise scale? This is an exciting opportunity to join a leading AI Strategy team at the forefront of Generative AI, agentic AI, copilots and AI-enabled transformation . You'll combine strategic thinking, commercial awareness and deep AI risk expertise to help organisations move from AI ambition to responsible, scalable execution. You'll work on complex, high-impact challenges spanning AI assurance, governance, risk management and lifecycle management , helping organisations build trust in AI while unlocking its potential. What you'll be doing Define and deliver AI assurance: Design, implement and continuously improve AI assurance frameworks covering fairness, safety, transparency, explainability, privacy, security, robustness, accountability and regulatory compliance. Identify and assess AI risk: Lead AI risk, impact and control assessments, evaluating business, operational, ethical, legal, regulatory and societal risks, particularly in high-risk or regulated environments. Embed risk throughout the AI lifecycle: Integrate first-line AI risk management and assurance from use-case selection and design through development, testing, deployment, monitoring, change management and retirement. Build trusted AI solutions: Partner with product, engineering, data science, security, privacy, legal and compliance teams to ensure AI solutions align with risk appetite, governance requirements and regulatory expectations. Ensure ongoing AI performance: Establish requirements for monitoring, performance validation, drift detection, incident management and post-deployment assurance so AI systems remain effective, safe and compliant. Shape AI strategy and growth: Contribute to enterprise-wide AI transformation, solve complex strategic challenges and help grow the wider AI Strategy practice. What you'll bring Demonstrable experience in AI risk management and assurance , including model performance, transparency, explainability, accountability, privacy, security and regulatory compliance. Strong experience embedding AI governance, risk management and assurance across the end-to-end AI lifecycle . Proven ability to conduct AI risk assessments, impact assessments, control evaluations and assurance reviews , ideally within regulated or high-risk environments. Excellent stakeholder management skills, with the ability to translate complex technical and regulatory concepts into clear, practical, risk-based recommendations for technical, operational and executive audiences. Strong understanding of AI monitoring and observability , including performance validation, drift detection, incident management and post-deployment assurance. A genuine passion for responsible, safe and scalable AI adoption , combined with commercial acumen, curiosity, adaptability and the ability to remain effective in complex or high-pressure environments. Desirable: Experience across sectors such as Central Government, Defence, Manufacturing, Automotive, Life Sciences, Consumer Products & Retail or Financial Services; experience influencing cross-functional teams and operating in complex or highly regulated risk environments. If you've held any of these roles or used these technologies/skills, this role could be a great fit: AI Strategy Consultant, AI Strategy Lead, AI Risk Consultant, AI Risk Manager, AI Assurance Lead, AI Governance Consultant, Responsible AI Consultant, AI Governance Lead, AI Assurance, AI Risk Management, AI Governance, Generative AI, Agentic AI, AI Copilots, AI Lifecycle Management, AI Monitoring, AI Observability, Model Risk, Responsible AI, Risk & Control Assessments. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Aug 13, 2026
Full time
Senior AI Assurance Consultant London, Manchester or Glasgow / Hybrid 70k - 100k per annum + bonus & benefits Permanent Are you ready to help shape how organisations safely and responsibly adopt AI at enterprise scale? This is an exciting opportunity to join a leading AI Strategy team at the forefront of Generative AI, agentic AI, copilots and AI-enabled transformation . You'll combine strategic thinking, commercial awareness and deep AI risk expertise to help organisations move from AI ambition to responsible, scalable execution. You'll work on complex, high-impact challenges spanning AI assurance, governance, risk management and lifecycle management , helping organisations build trust in AI while unlocking its potential. What you'll be doing Define and deliver AI assurance: Design, implement and continuously improve AI assurance frameworks covering fairness, safety, transparency, explainability, privacy, security, robustness, accountability and regulatory compliance. Identify and assess AI risk: Lead AI risk, impact and control assessments, evaluating business, operational, ethical, legal, regulatory and societal risks, particularly in high-risk or regulated environments. Embed risk throughout the AI lifecycle: Integrate first-line AI risk management and assurance from use-case selection and design through development, testing, deployment, monitoring, change management and retirement. Build trusted AI solutions: Partner with product, engineering, data science, security, privacy, legal and compliance teams to ensure AI solutions align with risk appetite, governance requirements and regulatory expectations. Ensure ongoing AI performance: Establish requirements for monitoring, performance validation, drift detection, incident management and post-deployment assurance so AI systems remain effective, safe and compliant. Shape AI strategy and growth: Contribute to enterprise-wide AI transformation, solve complex strategic challenges and help grow the wider AI Strategy practice. What you'll bring Demonstrable experience in AI risk management and assurance , including model performance, transparency, explainability, accountability, privacy, security and regulatory compliance. Strong experience embedding AI governance, risk management and assurance across the end-to-end AI lifecycle . Proven ability to conduct AI risk assessments, impact assessments, control evaluations and assurance reviews , ideally within regulated or high-risk environments. Excellent stakeholder management skills, with the ability to translate complex technical and regulatory concepts into clear, practical, risk-based recommendations for technical, operational and executive audiences. Strong understanding of AI monitoring and observability , including performance validation, drift detection, incident management and post-deployment assurance. A genuine passion for responsible, safe and scalable AI adoption , combined with commercial acumen, curiosity, adaptability and the ability to remain effective in complex or high-pressure environments. Desirable: Experience across sectors such as Central Government, Defence, Manufacturing, Automotive, Life Sciences, Consumer Products & Retail or Financial Services; experience influencing cross-functional teams and operating in complex or highly regulated risk environments. If you've held any of these roles or used these technologies/skills, this role could be a great fit: AI Strategy Consultant, AI Strategy Lead, AI Risk Consultant, AI Risk Manager, AI Assurance Lead, AI Governance Consultant, Responsible AI Consultant, AI Governance Lead, AI Assurance, AI Risk Management, AI Governance, Generative AI, Agentic AI, AI Copilots, AI Lifecycle Management, AI Monitoring, AI Observability, Model Risk, Responsible AI, Risk & Control Assessments. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Senior AI Engineer (Gen AI & RAG) Join an award-winning, internationally recognised high growth international SaaS business as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative & agentic AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution, translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do Design, build, and deploy production-grade generative AI systems that perform reliably at scale. Implement and continuously improve RAG pipelines, including chunking strategies, reranking logic, and retrieval fusion, that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, explainability, and long-term maintainability. Implement fine-tuning, instruction tuning, and knowledge distillation techniques to adapt models to domain-specific requirements, evaluating trade-offs against prompting on quality, latency, and cost. Drive strong experimentation and evaluation practices, ensuring experiments are reproducible and well-documented while measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, including code reviews, design walkthroughs, and mentoring across the team. Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment. Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python skills, with hands-on experience in LlamaIndex, LangChain, and LangGraph. Proven track record building RAG systems; Graph-RAG a distinct advantage. Hands-on fine-tuning, instruction tuning, and knowledge distillation, not just prompt engineering. Solid evaluation and experimentation methodology for generative AI, focused on correctness, faithfulness, and robustness. Experience with large-scale, production-grade data pipelines, including performance, scalability, and reliability. Track record owning technical design and delivery of AI/ML systems in live, business-critical environments. Azure/Foundry familiarity advantageous. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Aug 12, 2026
Full time
Senior AI Engineer (Gen AI & RAG) Join an award-winning, internationally recognised high growth international SaaS business as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative & agentic AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution, translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do Design, build, and deploy production-grade generative AI systems that perform reliably at scale. Implement and continuously improve RAG pipelines, including chunking strategies, reranking logic, and retrieval fusion, that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, explainability, and long-term maintainability. Implement fine-tuning, instruction tuning, and knowledge distillation techniques to adapt models to domain-specific requirements, evaluating trade-offs against prompting on quality, latency, and cost. Drive strong experimentation and evaluation practices, ensuring experiments are reproducible and well-documented while measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, including code reviews, design walkthroughs, and mentoring across the team. Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment. Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python skills, with hands-on experience in LlamaIndex, LangChain, and LangGraph. Proven track record building RAG systems; Graph-RAG a distinct advantage. Hands-on fine-tuning, instruction tuning, and knowledge distillation, not just prompt engineering. Solid evaluation and experimentation methodology for generative AI, focused on correctness, faithfulness, and robustness. Experience with large-scale, production-grade data pipelines, including performance, scalability, and reliability. Track record owning technical design and delivery of AI/ML systems in live, business-critical environments. Azure/Foundry familiarity advantageous. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Director of Applications London Hybrid £ Role Summary The client's Digital function exists to enable the client's global mission by ensuring our people have the platforms, applications and engineering capability to operate effectively at scale. Following a period of foundational delivery, including Cyber Essentials+ certification, a live SOC, Salesforce as our CRM platform, stabilisation of our Workday investment, and building our data warehouse foundations, Digital is moving into a phase focused on platform maturity, AI-enabled operations and engineering excellence. The Director of Applications is a new, senior role accountable for the availability, configuration and ongoing evolution of the client's core business platforms: Salesforce, Workday, and Microsoft 365 / Azure, together with the engineering practice, AI platform operations and platform-level roadmaps that underpin them. Reporting to the CTO, this role leads the Applications function, owns the platform Centre of Excellence, and translates business needs into delivered platform capability. You will have deep expertise in SaaS platforms, modern engineering practice (CI/CD, source control, environment and release management, test automation) and the operational realities of running mission-critical systems globally, working closely with the CTO, Head of Digital Transformation & Performance, Enterprise Architect, Director of Security & Compliance, and platform leads. Key Responsibilities Platform Leadership Accountable for availability, configuration and management of the client's three strategic platforms: Salesforce, Workday, and Microsoft 365 / Azure Own platform-level roadmaps enabling delivery of the Digital Roadmap, with the Digital Leadership Team and Platform Leads Establish and lead the platform Centre of Excellence and internal community across platform leads and developers Line management responsibility for the Build team Engineering Practice Own engineering practice: source control/repo governance (GitHub, Salesforce via Gearset), CI/CD, environment management, release management, test strategy/automation Define and enforce technical execution standards for releases, distinct from change control approval Define and lead engineering standards, architectural patterns and Infrastructure as Code AI Platform Operations Accountable for operational availability of internal AI platforms (Claude, Agentforce, AI assistants) and AI consumption cost/budget management Own AI usage monitoring: drift, hallucination and misuse pattern detection, with the Director of Security & Compliance Provide the operational foundation for Agentic AI and Generative AI capability pillars Capacity & Observability Own scaling, rightsizing and optimisation of cloud and SaaS resources Own application monitoring, alerting and on-call response for in-scope platforms Lead cross-platform test strategy and quality standards Cross-Functional Working Translate business needs (Digital Roadmap) into platform-level delivery (Platform Roadmaps) Partner on identity, access, secret management and DevSecOps practices in CI/CD Partner with the Enterprise Architect on technical decisions and integration patterns Support the CTO with investment cases, vendor negotiation and executive reporting Person Specification Significant senior leadership experience running enterprise application functions globally Deep expertise in at least two of: Salesforce, Workday, Microsoft 365/Azure or AWS (configuration, integration, governance, licensing, support) Experience embedding CI/CD, source control governance, environment/release management, automated testing in a SaaS-heavy environment Track record building and running Centres of Excellence around major platforms Experience operationalising AI platforms and managing AI consumption cost is a strong advantage Strong understanding of how applications-layer decisions intersect with security, identity, data and architecture Experience managing technical leads and platform specialists, with a track record of developing them Comfortable operating at executive level on investment cases and roadmap trade-offs Pragmatic and delivery-oriented; able to defend decisions on engineering investment Open, progressive, bold and pragmatic - an optimistic changemaker aligned with the client's core beliefs Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Aug 11, 2026
Full time
Director of Applications London Hybrid £ Role Summary The client's Digital function exists to enable the client's global mission by ensuring our people have the platforms, applications and engineering capability to operate effectively at scale. Following a period of foundational delivery, including Cyber Essentials+ certification, a live SOC, Salesforce as our CRM platform, stabilisation of our Workday investment, and building our data warehouse foundations, Digital is moving into a phase focused on platform maturity, AI-enabled operations and engineering excellence. The Director of Applications is a new, senior role accountable for the availability, configuration and ongoing evolution of the client's core business platforms: Salesforce, Workday, and Microsoft 365 / Azure, together with the engineering practice, AI platform operations and platform-level roadmaps that underpin them. Reporting to the CTO, this role leads the Applications function, owns the platform Centre of Excellence, and translates business needs into delivered platform capability. You will have deep expertise in SaaS platforms, modern engineering practice (CI/CD, source control, environment and release management, test automation) and the operational realities of running mission-critical systems globally, working closely with the CTO, Head of Digital Transformation & Performance, Enterprise Architect, Director of Security & Compliance, and platform leads. Key Responsibilities Platform Leadership Accountable for availability, configuration and management of the client's three strategic platforms: Salesforce, Workday, and Microsoft 365 / Azure Own platform-level roadmaps enabling delivery of the Digital Roadmap, with the Digital Leadership Team and Platform Leads Establish and lead the platform Centre of Excellence and internal community across platform leads and developers Line management responsibility for the Build team Engineering Practice Own engineering practice: source control/repo governance (GitHub, Salesforce via Gearset), CI/CD, environment management, release management, test strategy/automation Define and enforce technical execution standards for releases, distinct from change control approval Define and lead engineering standards, architectural patterns and Infrastructure as Code AI Platform Operations Accountable for operational availability of internal AI platforms (Claude, Agentforce, AI assistants) and AI consumption cost/budget management Own AI usage monitoring: drift, hallucination and misuse pattern detection, with the Director of Security & Compliance Provide the operational foundation for Agentic AI and Generative AI capability pillars Capacity & Observability Own scaling, rightsizing and optimisation of cloud and SaaS resources Own application monitoring, alerting and on-call response for in-scope platforms Lead cross-platform test strategy and quality standards Cross-Functional Working Translate business needs (Digital Roadmap) into platform-level delivery (Platform Roadmaps) Partner on identity, access, secret management and DevSecOps practices in CI/CD Partner with the Enterprise Architect on technical decisions and integration patterns Support the CTO with investment cases, vendor negotiation and executive reporting Person Specification Significant senior leadership experience running enterprise application functions globally Deep expertise in at least two of: Salesforce, Workday, Microsoft 365/Azure or AWS (configuration, integration, governance, licensing, support) Experience embedding CI/CD, source control governance, environment/release management, automated testing in a SaaS-heavy environment Track record building and running Centres of Excellence around major platforms Experience operationalising AI platforms and managing AI consumption cost is a strong advantage Strong understanding of how applications-layer decisions intersect with security, identity, data and architecture Experience managing technical leads and platform specialists, with a track record of developing them Comfortable operating at executive level on investment cases and roadmap trade-offs Pragmatic and delivery-oriented; able to defend decisions on engineering investment Open, progressive, bold and pragmatic - an optimistic changemaker aligned with the client's core beliefs Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Practice Group / Department: Innovation and Legal Transformation Job Description Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide the world's preeminent corporations and financial institutions with a full business law service. With over 50 offices and 7,000 employees worldwide, our culture is the thread that connects us, as well as our values of unity, quality and integrity. Our strategy and culture are connected - defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we look for people who are innovative, commercially minded, and motivated by the impact of the work they do - ready to share in our ambition and help shape what comes next. Because while individuals can do well, together we achieve something extraordinary. The Role The Senior Manager - Innovation and AI will lead the firm's internally facing innovation technology strategy and shape the future direction of legal technology for the IDT team. This is a senior, strategically focused and technically fluent role that builds the technology roadmap, translates emerging technology into practical outcomes, and strengthens the firm's position as a leader in the use of advanced technology, including generative AI and agentic AI approaches. The role combines strategic horizon scanning, thought leadership, cross functional collaboration, and hands on oversight of solution design. It includes line management and responsibility for guiding small development teams or cross functional project groups as required. Experience working in professional services is essential, and experience in the legal sector is strongly preferred. Key Responsibilities Advisory Advise senior stakeholders on innovation technology strategy, governance, and safe adoption of emerging technology. Shape, prepare, and present business cases for investment in future technology aligned to practice needs, client expectations, and the firm's long term digital direction. Represent the IDT team in high level steering groups, working groups, and senior leadership forums. Innovation Strategy and Horizon Scanning Lead structured horizon scanning across AI, automation, workflow design, data platforms, and emerging categories such as agentic AI, orchestration frameworks and intelligent productivity tools. Assess the implications of developments in the technology landscape for a global law firm, including risks, opportunities, and competitive positioning. Develop and maintain the innovation technology innovation roadmap, ensuring clear priorities, dependencies, metrics and measurable outcomes. Translate emerging technology into practical, actionable future workflows that support lawyers and enhance service delivery. Research and Development Guide the research, evaluation and selection of new and emerging tools, platforms and vendors. Oversee or support the creation of proofs of concept, prototypes and minimum viable products, working with internal developers, vendors or external partners. Provide technical fluency to evaluate solution architecture, integration needs, data considerations and security implications. Maintain strong awareness of industry developments, academic research and market analysis to ensure the firm's innovation strategy remains current and credible. Internal and Market Collaboration Work closely with IT, Knowledge, Digital Solutions, Cyber Security, Risk and other business services teams to ensure alignment between innovation strategy and wider firmwide technology plans. Maintain relationships with the external ecosystem, including start ups, scale ups, academics and peer organisations, to benchmark trends and identify partnership opportunities. Support the creation of thought leadership materials including horizon scanning reports, internal updates and presentations. Engage with paralegals, LPM and IDT teams to coordinate innovation delivery activity across the broader innovation function. Technology Implementation and Innovation Delivery Lead structured evaluations of potential new tools and ensure evidence based recommendations. Oversee testing, configuration, onboarding and roll out of new capabilities from existing suppliers. Guide the integration of emerging AI and automation features into the firm's existing technology stack. Provide oversight of performance analysis, usage reporting and value tracking. Support transition of tools to business as usual teams where appropriate. Adoption and Education Design and deliver education programmes, knowledge sharing and communities of practice to help lawyers and business services colleagues understand emerging technologies. Promote safe, responsible and effective adoption of AI and new tools across the firm. Contribute to change management approaches that encourage confidence, safe experimentation and continuous improvement. Provide light client facing support as required, including occasional participation in innovation briefings or capability demonstrations. Key Skills and Experience Essential Minimum 7 years of experience in innovation, emerging technology, digital transformation or legal tech innovation roles. Experience working in a professional services environment. Strong understanding of the legal sector or demonstrable ability to adapt to it quickly. Proven ability to lead technology strategy, roadmap development and structured horizon scanning. Strong technical fluency, able to understand architecture, evaluate technical approaches and guide developers or vendor teams. Experience delivering prototypes, proofs of concept or minimum viable products. Experience leading small teams and managing cross functional project groups. Excellent communication skills, able to translate complex technology into clear and practical insights for senior stakeholders. Desirable Experience with agentic AI concepts, orchestration frameworks or AI automation tools.Familiarity with workflow design, data engineering concepts or integration patterns.Prior experience building or
Aug 10, 2026
Full time
Practice Group / Department: Innovation and Legal Transformation Job Description Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide the world's preeminent corporations and financial institutions with a full business law service. With over 50 offices and 7,000 employees worldwide, our culture is the thread that connects us, as well as our values of unity, quality and integrity. Our strategy and culture are connected - defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we look for people who are innovative, commercially minded, and motivated by the impact of the work they do - ready to share in our ambition and help shape what comes next. Because while individuals can do well, together we achieve something extraordinary. The Role The Senior Manager - Innovation and AI will lead the firm's internally facing innovation technology strategy and shape the future direction of legal technology for the IDT team. This is a senior, strategically focused and technically fluent role that builds the technology roadmap, translates emerging technology into practical outcomes, and strengthens the firm's position as a leader in the use of advanced technology, including generative AI and agentic AI approaches. The role combines strategic horizon scanning, thought leadership, cross functional collaboration, and hands on oversight of solution design. It includes line management and responsibility for guiding small development teams or cross functional project groups as required. Experience working in professional services is essential, and experience in the legal sector is strongly preferred. Key Responsibilities Advisory Advise senior stakeholders on innovation technology strategy, governance, and safe adoption of emerging technology. Shape, prepare, and present business cases for investment in future technology aligned to practice needs, client expectations, and the firm's long term digital direction. Represent the IDT team in high level steering groups, working groups, and senior leadership forums. Innovation Strategy and Horizon Scanning Lead structured horizon scanning across AI, automation, workflow design, data platforms, and emerging categories such as agentic AI, orchestration frameworks and intelligent productivity tools. Assess the implications of developments in the technology landscape for a global law firm, including risks, opportunities, and competitive positioning. Develop and maintain the innovation technology innovation roadmap, ensuring clear priorities, dependencies, metrics and measurable outcomes. Translate emerging technology into practical, actionable future workflows that support lawyers and enhance service delivery. Research and Development Guide the research, evaluation and selection of new and emerging tools, platforms and vendors. Oversee or support the creation of proofs of concept, prototypes and minimum viable products, working with internal developers, vendors or external partners. Provide technical fluency to evaluate solution architecture, integration needs, data considerations and security implications. Maintain strong awareness of industry developments, academic research and market analysis to ensure the firm's innovation strategy remains current and credible. Internal and Market Collaboration Work closely with IT, Knowledge, Digital Solutions, Cyber Security, Risk and other business services teams to ensure alignment between innovation strategy and wider firmwide technology plans. Maintain relationships with the external ecosystem, including start ups, scale ups, academics and peer organisations, to benchmark trends and identify partnership opportunities. Support the creation of thought leadership materials including horizon scanning reports, internal updates and presentations. Engage with paralegals, LPM and IDT teams to coordinate innovation delivery activity across the broader innovation function. Technology Implementation and Innovation Delivery Lead structured evaluations of potential new tools and ensure evidence based recommendations. Oversee testing, configuration, onboarding and roll out of new capabilities from existing suppliers. Guide the integration of emerging AI and automation features into the firm's existing technology stack. Provide oversight of performance analysis, usage reporting and value tracking. Support transition of tools to business as usual teams where appropriate. Adoption and Education Design and deliver education programmes, knowledge sharing and communities of practice to help lawyers and business services colleagues understand emerging technologies. Promote safe, responsible and effective adoption of AI and new tools across the firm. Contribute to change management approaches that encourage confidence, safe experimentation and continuous improvement. Provide light client facing support as required, including occasional participation in innovation briefings or capability demonstrations. Key Skills and Experience Essential Minimum 7 years of experience in innovation, emerging technology, digital transformation or legal tech innovation roles. Experience working in a professional services environment. Strong understanding of the legal sector or demonstrable ability to adapt to it quickly. Proven ability to lead technology strategy, roadmap development and structured horizon scanning. Strong technical fluency, able to understand architecture, evaluate technical approaches and guide developers or vendor teams. Experience delivering prototypes, proofs of concept or minimum viable products. Experience leading small teams and managing cross functional project groups. Excellent communication skills, able to translate complex technology into clear and practical insights for senior stakeholders. Desirable Experience with agentic AI concepts, orchestration frameworks or AI automation tools.Familiarity with workflow design, data engineering concepts or integration patterns.Prior experience building or
AI Engineer - Data & Reporting Location: London (Hybrid 2/3 days per week) Salary: £70,000-£80,000 + Bonus We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform enterprise reporting, analytics and business decision-making. This is an exciting opportunity to work on enterprise-scale AI projects, leveraging the latest Generative AI technologies including LLMs, Agentic AI and Retrieval-Augmented Generation (RAG), while collaborating with data scientists, engineers and senior business stakeholders. The Role As an AI Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full AI lifecycle including data exploration, model development, deployment, monitoring and continuous improvement. What You'll Be Doing Designing and developing enterprise AI and Machine Learning solutions Building Agentic AI frameworks and Retrieval-Augmented Generation (RAG) applications Developing intelligent reporting, recommendation and forecasting solutions Working with Large Language Models (LLMs) and foundation models Deploying production-ready machine learning models into cloud environments Building APIs and microservices to integrate AI capabilities into enterprise platforms Collaborating closely with business stakeholders to translate requirements into scalable AI solutions Driving best practice across AI governance, model monitoring and MLOps Evaluating emerging AI technologies and identifying opportunities for innovation Skills & Experience We're looking for candidates with experience across several of the following: Commercial experience developing AI or Machine Learning solutions Strong Python development skills Experience with Machine Learning frameworks such as TensorFlow, PyTorch or Scikit-learn Experience with Generative AI technologies including LLMs, LangChain or LlamaIndex Hands-on experience building RAG solutions and working with vector databases Experience with MLOps, CI/CD and containerisation Strong SQL skills and experience working with large datasets Cloud experience across Azure, AWS or GCP Excellent communication skills with the ability to engage both technical and non-technical stakeholders
Aug 08, 2026
Full time
AI Engineer - Data & Reporting Location: London (Hybrid 2/3 days per week) Salary: £70,000-£80,000 + Bonus We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform enterprise reporting, analytics and business decision-making. This is an exciting opportunity to work on enterprise-scale AI projects, leveraging the latest Generative AI technologies including LLMs, Agentic AI and Retrieval-Augmented Generation (RAG), while collaborating with data scientists, engineers and senior business stakeholders. The Role As an AI Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full AI lifecycle including data exploration, model development, deployment, monitoring and continuous improvement. What You'll Be Doing Designing and developing enterprise AI and Machine Learning solutions Building Agentic AI frameworks and Retrieval-Augmented Generation (RAG) applications Developing intelligent reporting, recommendation and forecasting solutions Working with Large Language Models (LLMs) and foundation models Deploying production-ready machine learning models into cloud environments Building APIs and microservices to integrate AI capabilities into enterprise platforms Collaborating closely with business stakeholders to translate requirements into scalable AI solutions Driving best practice across AI governance, model monitoring and MLOps Evaluating emerging AI technologies and identifying opportunities for innovation Skills & Experience We're looking for candidates with experience across several of the following: Commercial experience developing AI or Machine Learning solutions Strong Python development skills Experience with Machine Learning frameworks such as TensorFlow, PyTorch or Scikit-learn Experience with Generative AI technologies including LLMs, LangChain or LlamaIndex Hands-on experience building RAG solutions and working with vector databases Experience with MLOps, CI/CD and containerisation Strong SQL skills and experience working with large datasets Cloud experience across Azure, AWS or GCP Excellent communication skills with the ability to engage both technical and non-technical stakeholders
AWS AI Architect 6-Month contract - Inside IR35 - market rate Guildford based - hybrid working - 3 days a week on site Insurance sector What you'll be doing Design and deliver innovative Agentic AI solutions that address client challenges and create measurable business value. Lead the architecture and implementation of autonomous and multi-agent AI systems using hyperscaler AI platforms, with a strong preference for AWS-native services and patterns. Collaborate with business, technology and delivery teams to integrate AI capabilities into enterprise applications, workflows and operating models. Demonstrate modern AI and Agentic AI solutions to clients, clearly articulating technical capabilities, business outcomes and implementation approaches. Translate high-level solution concepts into actionable architecture, design and delivery guidance for engineering teams. Design and implement AI-powered assistants, agents and intelligent workflow solutions leveraging RAG and advanced orchestration techniques. Evaluate emerging AI technologies, frameworks and industry trends to drive innovation and best practice. Provide technical leadership, mentoring and guidance to project teams, promoting excellence in AI solution delivery. What you'll bring Minimum 6 years' experience in Solution Architecture, including at least 2-3 years focused on AI, Generative AI and Agentic AI solutions. Proven experience designing and delivering production-grade Agentic AI solutions on hyperscaler cloud platforms, with AWS experience strongly preferred (e.g., Bedrock, Lambda, Step Functions and related AI services). Hands-on experience implementing AI agents, multi-agent systems, intelligent workflow automation, RAG architectures and AI-powered assistants in enterprise environments. Strong knowledge of agentic frameworks and orchestration technologies such as LangGraph, AutoGen, CrewAI, Agent Development Kit (ADK) or equivalent. Experience with AI engineering platforms including AWS Bedrock, Azure AI Foundry and/or Google Vertex AI. Ability to engage confidently with senior stakeholders, communicate complex AI concepts clearly, and demonstrate business value to clients. Experience within the insurance sector is preferred, with an understanding of industry challenges, processes and regulatory considerations. Strong problem-solving, leadership and consulting skills, with a passion for innovation and continuous learning. Eligibility for SC clearance is highly desirable. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Aug 08, 2026
Contractor
AWS AI Architect 6-Month contract - Inside IR35 - market rate Guildford based - hybrid working - 3 days a week on site Insurance sector What you'll be doing Design and deliver innovative Agentic AI solutions that address client challenges and create measurable business value. Lead the architecture and implementation of autonomous and multi-agent AI systems using hyperscaler AI platforms, with a strong preference for AWS-native services and patterns. Collaborate with business, technology and delivery teams to integrate AI capabilities into enterprise applications, workflows and operating models. Demonstrate modern AI and Agentic AI solutions to clients, clearly articulating technical capabilities, business outcomes and implementation approaches. Translate high-level solution concepts into actionable architecture, design and delivery guidance for engineering teams. Design and implement AI-powered assistants, agents and intelligent workflow solutions leveraging RAG and advanced orchestration techniques. Evaluate emerging AI technologies, frameworks and industry trends to drive innovation and best practice. Provide technical leadership, mentoring and guidance to project teams, promoting excellence in AI solution delivery. What you'll bring Minimum 6 years' experience in Solution Architecture, including at least 2-3 years focused on AI, Generative AI and Agentic AI solutions. Proven experience designing and delivering production-grade Agentic AI solutions on hyperscaler cloud platforms, with AWS experience strongly preferred (e.g., Bedrock, Lambda, Step Functions and related AI services). Hands-on experience implementing AI agents, multi-agent systems, intelligent workflow automation, RAG architectures and AI-powered assistants in enterprise environments. Strong knowledge of agentic frameworks and orchestration technologies such as LangGraph, AutoGen, CrewAI, Agent Development Kit (ADK) or equivalent. Experience with AI engineering platforms including AWS Bedrock, Azure AI Foundry and/or Google Vertex AI. Ability to engage confidently with senior stakeholders, communicate complex AI concepts clearly, and demonstrate business value to clients. Experience within the insurance sector is preferred, with an understanding of industry challenges, processes and regulatory considerations. Strong problem-solving, leadership and consulting skills, with a passion for innovation and continuous learning. Eligibility for SC clearance is highly desirable. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Senior Python / Automation Engineer - 12 Month Contract / Hybrid / Inside IR35 Our client, a leader in the technology sector, is seeking a Senior Python / Automation Engineer to join their talented team! This is an exciting opportunity to shape the future of enterprise-grade automation while leveraging cutting-edge AI technologies. About the Role: As a Senior Python / Automation Engineer, you will play a pivotal role in enhancing productivity through automation across various functions. You'll be at the forefront of integrating AI selectively to add value to existing automation processes. What You'll Do: Develop and maintain robust automation solutions that streamline workflows and enhance operational efficiency. Collaborate with cross-functional teams to extend existing agent-based solutions and RAG implementations. Take ownership of the full software lifecycle: build, deploy, monitor, and tune solutions in a live environment. Ensure production maturity by transitioning solutions from proof of concept to fully operational systems. Apply your knowledge of AI concepts pragmatically within a primarily automation-focused environment. Required Experience : Software engineering with strong expertise in Python development. AI Knowledge : Familiarity with LLMs and Generative AI solutions, along with frameworks like LangChain or LangGraph. Technical Skills : Proficiency in API design and integration, SQL, data processing, Git, and CI/CD practises. Production Focus : A solid engineering mindset with the capability to extend existing automation rather than starting from scratch. Desired Qualifications: Experience with RAG architecture implementation and vector databases. Exposure to Azure AI and OpenAI technologies. Familiarity with enterprise workflow automation and agentic AI frameworks. Financial Services Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Aug 08, 2026
Contractor
Senior Python / Automation Engineer - 12 Month Contract / Hybrid / Inside IR35 Our client, a leader in the technology sector, is seeking a Senior Python / Automation Engineer to join their talented team! This is an exciting opportunity to shape the future of enterprise-grade automation while leveraging cutting-edge AI technologies. About the Role: As a Senior Python / Automation Engineer, you will play a pivotal role in enhancing productivity through automation across various functions. You'll be at the forefront of integrating AI selectively to add value to existing automation processes. What You'll Do: Develop and maintain robust automation solutions that streamline workflows and enhance operational efficiency. Collaborate with cross-functional teams to extend existing agent-based solutions and RAG implementations. Take ownership of the full software lifecycle: build, deploy, monitor, and tune solutions in a live environment. Ensure production maturity by transitioning solutions from proof of concept to fully operational systems. Apply your knowledge of AI concepts pragmatically within a primarily automation-focused environment. Required Experience : Software engineering with strong expertise in Python development. AI Knowledge : Familiarity with LLMs and Generative AI solutions, along with frameworks like LangChain or LangGraph. Technical Skills : Proficiency in API design and integration, SQL, data processing, Git, and CI/CD practises. Production Focus : A solid engineering mindset with the capability to extend existing automation rather than starting from scratch. Desired Qualifications: Experience with RAG architecture implementation and vector databases. Exposure to Azure AI and OpenAI technologies. Familiarity with enterprise workflow automation and agentic AI frameworks. Financial Services Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
MS Power Platform Specialist Job Overview Location: Milton Keynes, UK (Hybrid/Remote: Required to attend the office every Wednesday; additional days can be coordinated with the customer) Employment Type: Full-time / Permanent Job Summary Seeking a Senior Specialist with 7 to 11 years of experience in the Microsoft Power Platform to design, develop, and implement Power Apps, Power Automate, and Power Pages solutions. Roles and Responsibilities Act as a trusted technical partner, providing strategic guidance and hands-on delivery support to internal teams. Lead the end-to-end implementation of Power Platform projects, ensuring timely execution and adherence to quality standards. Engage in requirements gathering, business analysis, and use case definitions for AI Agent and Copilot solutions. Translate complex business needs into scalable solution designs utilizing Copilot Studio and the Power Platform. Develop and configure AI Agents within Microsoft Copilot Studio and the wider ecosystem, focusing on topics, prompts, and conversational workflows. Integrate applications with enterprise data repositories, including Microsoft 365, SharePoint, and Dataverse. Build custom connectors and design automated workflows with Power Automate. Conduct rigorous testing, validation, code reviews, and troubleshooting to maintain high solution reliability. Align all developments with organizational governance, IT security, and compliance regulations. Facilitate deployment, rollout strategies, user adoption, and transition to Business-as-Usual (BAU) support. Monitor and optimize AI Agent performance metrics, including usage trends, user feedback, token consumption, and cost tracking. Identify and communicate technical risks, constraints, dependencies, and delivery factors to leadership and stakeholders. Contribute to establishing governance frameworks, implementation baselines, and reusable delivery models for future AI deployments. Produce comprehensive documentation, including solution architecture, design specifications, and user manuals, while training end-users to maximize adoption. Note: The customer interview process is currently anticipated to consist of one round, which will be confirmed at the earliest opportunity. Skills & Expertise Mandatory Skills: Power Platform (Power Apps, Power Automate, Power Pages) Key Tools & Specializations: Microsoft Copilot Studio Agentic AI & Conversational Agents Power Platform Ecosystem AI Builder Enterprise AI Integration Generative AI Solution Design Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Aug 08, 2026
Full time
MS Power Platform Specialist Job Overview Location: Milton Keynes, UK (Hybrid/Remote: Required to attend the office every Wednesday; additional days can be coordinated with the customer) Employment Type: Full-time / Permanent Job Summary Seeking a Senior Specialist with 7 to 11 years of experience in the Microsoft Power Platform to design, develop, and implement Power Apps, Power Automate, and Power Pages solutions. Roles and Responsibilities Act as a trusted technical partner, providing strategic guidance and hands-on delivery support to internal teams. Lead the end-to-end implementation of Power Platform projects, ensuring timely execution and adherence to quality standards. Engage in requirements gathering, business analysis, and use case definitions for AI Agent and Copilot solutions. Translate complex business needs into scalable solution designs utilizing Copilot Studio and the Power Platform. Develop and configure AI Agents within Microsoft Copilot Studio and the wider ecosystem, focusing on topics, prompts, and conversational workflows. Integrate applications with enterprise data repositories, including Microsoft 365, SharePoint, and Dataverse. Build custom connectors and design automated workflows with Power Automate. Conduct rigorous testing, validation, code reviews, and troubleshooting to maintain high solution reliability. Align all developments with organizational governance, IT security, and compliance regulations. Facilitate deployment, rollout strategies, user adoption, and transition to Business-as-Usual (BAU) support. Monitor and optimize AI Agent performance metrics, including usage trends, user feedback, token consumption, and cost tracking. Identify and communicate technical risks, constraints, dependencies, and delivery factors to leadership and stakeholders. Contribute to establishing governance frameworks, implementation baselines, and reusable delivery models for future AI deployments. Produce comprehensive documentation, including solution architecture, design specifications, and user manuals, while training end-users to maximize adoption. Note: The customer interview process is currently anticipated to consist of one round, which will be confirmed at the earliest opportunity. Skills & Expertise Mandatory Skills: Power Platform (Power Apps, Power Automate, Power Pages) Key Tools & Specializations: Microsoft Copilot Studio Agentic AI & Conversational Agents Power Platform Ecosystem AI Builder Enterprise AI Integration Generative AI Solution Design Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Senior AI Software EngineerLondon£90,000-£130,000 I'm partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software SolutionsYou'll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse DomainsYou'll tackle varied engagements, ranging in length and complexity, and support multiple clients. Ensure Scalable and Reliable DeploymentYour role includes end-to-end responsibility for deploying AI solutions that are robust, maintainable, and optimized for performance at scale. Act as a Strong Team Contributor and CommunicatorWhile you won't lead client engagements, you'll work closely with clients and internal teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI ExpertiseUtilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history; this is a long-term growth-focused opportunity within an expanding team of 5 for this role Ready to Apply? If this resonates with your background and career path, let's talk. Please share your CV highlighting your engineering experience and where generative AI has featured, especially in deployment or integration roles.
Sep 25, 2025
Full time
Senior AI Software EngineerLondon£90,000-£130,000 I'm partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software SolutionsYou'll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse DomainsYou'll tackle varied engagements, ranging in length and complexity, and support multiple clients. Ensure Scalable and Reliable DeploymentYour role includes end-to-end responsibility for deploying AI solutions that are robust, maintainable, and optimized for performance at scale. Act as a Strong Team Contributor and CommunicatorWhile you won't lead client engagements, you'll work closely with clients and internal teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI ExpertiseUtilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history; this is a long-term growth-focused opportunity within an expanding team of 5 for this role Ready to Apply? If this resonates with your background and career path, let's talk. Please share your CV highlighting your engineering experience and where generative AI has featured, especially in deployment or integration roles.
