Head of AI & Automation Hybrid: 1-2 days per week in the office (North West) Permanent Paying up to 100k + bonus + bens Experis are partnering with a large, well-established organisation as they continue to accelerate their digital and operational transformation agenda. We are supporting them in the search for an experienced AI and Automation Lead to own and deliver a multi-year strategy focused on leveraging artificial intelligence and automation across their operations. This is a high-impact leadership role, responsible for shaping AI adoption across support centre and knowledge worker environments, with a focus on improving productivity, reducing cost, and enhancing customer experience. What You'll Be Doing Defining and owning the organisation's AI and automation strategy, aligned to wider digital transformation goals Identifying, prioritising, and delivering high-value AI use cases across operations and support functions Leading the end-to-end delivery of AI solutions from proof of concept through to production Building, scaling, and developing a small in-house AI engineering capability Driving adoption of AI solutions (e.g. chatbots, intelligent document processing, workflow automation, predictive analytics) into day-to-day business processes Acting as a trusted advisor to senior stakeholders, translating AI opportunities into tangible business outcomes Managing third-party vendors and delivery partners, ensuring quality, value, and alignment to outcomes Establishing AI governance frameworks, covering data ethics, model performance, and responsible AI usage Defining and tracking ROI and success metrics across AI initiatives Leading training and change initiatives to embed AI across the workforce Experience Required Proven experience leading AI, machine learning, or intelligent automation initiatives in a mid-to-large organisation Strong hands-on knowledge of generative AI (LLMs, RAG architectures) and/or agentic AI frameworks Experience building or scaling AI / data science teams Track record of delivering AI solutions into production environments, not just proof of concept Experience working with cloud platforms (Azure, AWS or GCP) Exposure to vendor-led delivery models and partner ecosystems Strong understanding of data governance, AI ethics, and responsible AI principles Experience in customer operations / contact centre environments would be highly advantageous Excellent stakeholder management skills, with the ability to influence at senior level and communicate complex ideas clearly If you'd like to learn more, please contact Jacob Ferdinand at
May 16, 2026
Full time
Head of AI & Automation Hybrid: 1-2 days per week in the office (North West) Permanent Paying up to 100k + bonus + bens Experis are partnering with a large, well-established organisation as they continue to accelerate their digital and operational transformation agenda. We are supporting them in the search for an experienced AI and Automation Lead to own and deliver a multi-year strategy focused on leveraging artificial intelligence and automation across their operations. This is a high-impact leadership role, responsible for shaping AI adoption across support centre and knowledge worker environments, with a focus on improving productivity, reducing cost, and enhancing customer experience. What You'll Be Doing Defining and owning the organisation's AI and automation strategy, aligned to wider digital transformation goals Identifying, prioritising, and delivering high-value AI use cases across operations and support functions Leading the end-to-end delivery of AI solutions from proof of concept through to production Building, scaling, and developing a small in-house AI engineering capability Driving adoption of AI solutions (e.g. chatbots, intelligent document processing, workflow automation, predictive analytics) into day-to-day business processes Acting as a trusted advisor to senior stakeholders, translating AI opportunities into tangible business outcomes Managing third-party vendors and delivery partners, ensuring quality, value, and alignment to outcomes Establishing AI governance frameworks, covering data ethics, model performance, and responsible AI usage Defining and tracking ROI and success metrics across AI initiatives Leading training and change initiatives to embed AI across the workforce Experience Required Proven experience leading AI, machine learning, or intelligent automation initiatives in a mid-to-large organisation Strong hands-on knowledge of generative AI (LLMs, RAG architectures) and/or agentic AI frameworks Experience building or scaling AI / data science teams Track record of delivering AI solutions into production environments, not just proof of concept Experience working with cloud platforms (Azure, AWS or GCP) Exposure to vendor-led delivery models and partner ecosystems Strong understanding of data governance, AI ethics, and responsible AI principles Experience in customer operations / contact centre environments would be highly advantageous Excellent stakeholder management skills, with the ability to influence at senior level and communicate complex ideas clearly If you'd like to learn more, please contact Jacob Ferdinand at
Quality Engineer - AI Platform Engineering Employment Type: Inside IR35 Contract Duration: 6 Months Rate: 650 - 750/ Day Location: Central London, Hybrid (3 Days Onsite per Week) Opportunity Overview A global organisation is building a centralised AI enablement and platform engineering function focused on delivering scalable, secure, and governed AI capabilities across the enterprise. This role sits within a programme delivering enterprise-grade agentic AI infrastructure, including internal AI assistants, retrieval and search services, extensibility frameworks, and governance tooling. Programme Overview The programme is focused on delivering a production-grade internal agentic AI platform, including: Development of an enterprise AI assistant capable of reasoning, planning, and tool orchestration Operation of enterprise retrieval, search, and grounding services for approved data sources Delivery of a secure internal gateway layer providing discovery, observability, policy enforcement, and lifecycle management for AI-integrated services Design and development of AI-integrated services and reusable capabilities that safely expose internal and third-party systems to AI agents Establishment of evaluation, governance, and quality-control frameworks to support scalable and compliant deployment of AI capabilities The programme currently follows a centrally delivered model while evolving towards a federated contribution approach over time. Key Responsibilities Define and implement evaluation frameworks covering correctness, safety, reliability, and regression impact for AI-integrated services Develop and maintain automated test pipelines for agentic workflows, including tool orchestration and multi-step execution paths Identify, evaluate, and mitigate AI system failure modes such as hallucinations, invalid inputs, latency issues, and inappropriate tool usage Produce testing and governance evidence required for internal approval and operational processes Collaborate closely with ML Engineers and platform teams to embed testability and evaluation capabilities into AI services Contribute to the long-term quality assurance and governance strategy for enterprise-wide AI platform adoption Essential Skills and Experience Strong Python development experience, particularly for automation and test frameworks Experience with LLM and RAG evaluation tooling, frameworks, or custom evaluation pipelines Expertise in automated testing across unit, integration, and regression testing environments Good understanding of agentic AI systems, associated risks, and operational failure modes Ability to assess technical solutions against governance, audit, and security requirements Experience working within regulated or highly governed engineering environments What's on Offer Opportunity to contribute to large-scale enterprise AI transformation initiatives Exposure to cutting-edge AI platform engineering and governance challenges Collaborative environment working alongside platform engineers, ML specialists, and architecture teams Influence over the development of long-term AI quality and governance standards Opportunity to shape scalable AI engineering practices within a complex enterprise environment
May 16, 2026
Contractor
Quality Engineer - AI Platform Engineering Employment Type: Inside IR35 Contract Duration: 6 Months Rate: 650 - 750/ Day Location: Central London, Hybrid (3 Days Onsite per Week) Opportunity Overview A global organisation is building a centralised AI enablement and platform engineering function focused on delivering scalable, secure, and governed AI capabilities across the enterprise. This role sits within a programme delivering enterprise-grade agentic AI infrastructure, including internal AI assistants, retrieval and search services, extensibility frameworks, and governance tooling. Programme Overview The programme is focused on delivering a production-grade internal agentic AI platform, including: Development of an enterprise AI assistant capable of reasoning, planning, and tool orchestration Operation of enterprise retrieval, search, and grounding services for approved data sources Delivery of a secure internal gateway layer providing discovery, observability, policy enforcement, and lifecycle management for AI-integrated services Design and development of AI-integrated services and reusable capabilities that safely expose internal and third-party systems to AI agents Establishment of evaluation, governance, and quality-control frameworks to support scalable and compliant deployment of AI capabilities The programme currently follows a centrally delivered model while evolving towards a federated contribution approach over time. Key Responsibilities Define and implement evaluation frameworks covering correctness, safety, reliability, and regression impact for AI-integrated services Develop and maintain automated test pipelines for agentic workflows, including tool orchestration and multi-step execution paths Identify, evaluate, and mitigate AI system failure modes such as hallucinations, invalid inputs, latency issues, and inappropriate tool usage Produce testing and governance evidence required for internal approval and operational processes Collaborate closely with ML Engineers and platform teams to embed testability and evaluation capabilities into AI services Contribute to the long-term quality assurance and governance strategy for enterprise-wide AI platform adoption Essential Skills and Experience Strong Python development experience, particularly for automation and test frameworks Experience with LLM and RAG evaluation tooling, frameworks, or custom evaluation pipelines Expertise in automated testing across unit, integration, and regression testing environments Good understanding of agentic AI systems, associated risks, and operational failure modes Ability to assess technical solutions against governance, audit, and security requirements Experience working within regulated or highly governed engineering environments What's on Offer Opportunity to contribute to large-scale enterprise AI transformation initiatives Exposure to cutting-edge AI platform engineering and governance challenges Collaborative environment working alongside platform engineers, ML specialists, and architecture teams Influence over the development of long-term AI quality and governance standards Opportunity to shape scalable AI engineering practices within a complex enterprise environment
For additional information, please review .analysis, application development, problem solving and communication to Source to Pay Solutions Technology group.By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Team/Role Overview Source to Pay Solutions Technology group is part of COO (Citi Operating Office) Technology organization supporting Citi Operating Office business function and its enterprise wide transformation agenda to achieve improvements across risk management, controls, data governance, AI adoption, and process re engineering by delivering scalable, secure, and modern technology solutions. Based in Belfast, the team partners closely with businesses and technology stakeholders to build, manage, and modernize multiple Source to Pay applications, playing a key role in translating strategic transformation priorities into measurable operational outcomes. What you'll do Senior Application Development Lead (Gen AI) is a senior level position responsible for Set technical direction for Gen AI adoption across multiple applications or teams, defining reusable patterns, reference architectures, and best practices aligned with enterprise standards. Design, integrate, and evolve Gen AI capabilities (LLMs, APIs, agentic workflows, automation) in business critical applications, focusing on clear value, reliability, and responsible usage Own end to end delivery of Gen AI enabled features , from solution design and implementation through production rollout, support, and continuous improvement Collaborate daily with global and regional technology and business teams to deliver against regulatory, risk, and transformation priorities Apply agile engineering practices , leveraging iterative delivery, pragmatic architectural decisions, and emerging Gen AI/agentic tooling to accelerate outcomes Provide technical leadership and mentorship through hands on development, code reviews, and design guidance, raising the overall engineering bar Ensure solutions meet Citi standards for security, stability, resilience, and operational control, working closely with architecture, risk, and production support teams Continuously assess and improve system quality , balancing performance, cost, accuracy, and user experience in production Gen AI applications What we'll need from you Deep expertise in Large Language Models (LLMs) , including commercial and open-source models (e.g., OpenAI, Gemini, Claude, Llama), and selecting the right model for use case, cost, and performance constraints Hands on experience building Gen AI applications using modern frameworks such as LangChain, LangGraph, LlamaIndex, and Hugging Face, including agentic and multi step workflows Proven experience designing and implementing Retrieval Augmented Generation (RAG) systems , including vector databases (pgvector, Pinecone, Weaviate, FAISS, etc.) and advanced retrieval strategies (hybrid search, re ranking, metadata filtering) Strong understanding of prompt engineering, workflow design, and Gen AI optimization , balancing latency, cost, quality, and accuracy trade offs in production systems Solid grounding in ML/DL concepts , with hands on experience applying frameworks such as PyTorch and/or TensorFlow , including embeddings and model fine tuning where appropriate Experience deploying and operating production Gen AI systems , leveraging Docker, cloud native architecture, production APIs, and monitoring/observability tools , with an emphasis on reliability and scalability Strong hands on software engineering skills , including Python, FastAPI, async programming patterns , and building high performance AI powered APIs Understanding of AI system evaluation, safety, and governance , including hallucination handling, guardrails, feedback loops, and responsible AI considerations, combined with the ability to work independently and communicate effectively in agile environments What we can offer you This role offers the opportunity to shape how Generative AI is responsibly adopted across critical enterprise workflows, influencing both technology strategy and business outcomes. You'll work at the intersection of platform engineering, AI governance, and large scale transformation, with clear visibility and impact across the organization.We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure A discretional annual performance related bonus Private medical insurance packages to suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster.
May 16, 2026
Full time
For additional information, please review .analysis, application development, problem solving and communication to Source to Pay Solutions Technology group.By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Team/Role Overview Source to Pay Solutions Technology group is part of COO (Citi Operating Office) Technology organization supporting Citi Operating Office business function and its enterprise wide transformation agenda to achieve improvements across risk management, controls, data governance, AI adoption, and process re engineering by delivering scalable, secure, and modern technology solutions. Based in Belfast, the team partners closely with businesses and technology stakeholders to build, manage, and modernize multiple Source to Pay applications, playing a key role in translating strategic transformation priorities into measurable operational outcomes. What you'll do Senior Application Development Lead (Gen AI) is a senior level position responsible for Set technical direction for Gen AI adoption across multiple applications or teams, defining reusable patterns, reference architectures, and best practices aligned with enterprise standards. Design, integrate, and evolve Gen AI capabilities (LLMs, APIs, agentic workflows, automation) in business critical applications, focusing on clear value, reliability, and responsible usage Own end to end delivery of Gen AI enabled features , from solution design and implementation through production rollout, support, and continuous improvement Collaborate daily with global and regional technology and business teams to deliver against regulatory, risk, and transformation priorities Apply agile engineering practices , leveraging iterative delivery, pragmatic architectural decisions, and emerging Gen AI/agentic tooling to accelerate outcomes Provide technical leadership and mentorship through hands on development, code reviews, and design guidance, raising the overall engineering bar Ensure solutions meet Citi standards for security, stability, resilience, and operational control, working closely with architecture, risk, and production support teams Continuously assess and improve system quality , balancing performance, cost, accuracy, and user experience in production Gen AI applications What we'll need from you Deep expertise in Large Language Models (LLMs) , including commercial and open-source models (e.g., OpenAI, Gemini, Claude, Llama), and selecting the right model for use case, cost, and performance constraints Hands on experience building Gen AI applications using modern frameworks such as LangChain, LangGraph, LlamaIndex, and Hugging Face, including agentic and multi step workflows Proven experience designing and implementing Retrieval Augmented Generation (RAG) systems , including vector databases (pgvector, Pinecone, Weaviate, FAISS, etc.) and advanced retrieval strategies (hybrid search, re ranking, metadata filtering) Strong understanding of prompt engineering, workflow design, and Gen AI optimization , balancing latency, cost, quality, and accuracy trade offs in production systems Solid grounding in ML/DL concepts , with hands on experience applying frameworks such as PyTorch and/or TensorFlow , including embeddings and model fine tuning where appropriate Experience deploying and operating production Gen AI systems , leveraging Docker, cloud native architecture, production APIs, and monitoring/observability tools , with an emphasis on reliability and scalability Strong hands on software engineering skills , including Python, FastAPI, async programming patterns , and building high performance AI powered APIs Understanding of AI system evaluation, safety, and governance , including hallucination handling, guardrails, feedback loops, and responsible AI considerations, combined with the ability to work independently and communicate effectively in agile environments What we can offer you This role offers the opportunity to shape how Generative AI is responsibly adopted across critical enterprise workflows, influencing both technology strategy and business outcomes. You'll work at the intersection of platform engineering, AI governance, and large scale transformation, with clear visibility and impact across the organization.We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure A discretional annual performance related bonus Private medical insurance packages to suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster.
AI Developer Job Type: Full-Time, Permanent Location: Reading, hybrid working arrangements, 3 days a week onsite. Hours: Monday to Friday, 37.5 hours per week Salary: Competitive, dependent on experience An excellent new opportunity for a hands-on AI Developer efficient with coding, AI & DevOps to be at the forefront of AI-powered software development. You will be part of a small, agile team dedicated to building innovative solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. This role is perfect for someone who thrives on understanding how things work, is not afraid to experiment, and wants to shape how to deliver AI solutions to clients and evolve internal capabilities. Day-to-day of the role: Key Delivery Responsibilities: Design, develop, and deploy AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping, and proof-of-concept development to support client proposals. Internal Development and Enablement Responsibilities: Contribute to the development of internal AI tools, accelerators, and reusable components. Explore and evaluate emerging AI technologies, frameworks, and development approaches. Support the adoption of AI-assisted development practices (vibe coding, AI testing, agentic development) across the team. Help shape product strategy by identifying opportunities to package and position AI solutions. Participate in knowledge sharing, internal training, and capability building within the AI and Data Innovation team. Required Skills & Qualifications: Solid full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Hands-on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable ability to learn new technologies quickly and apply them practically. Strong problem-solving mindset with attention to code quality and engineering rigour. Comfortable working independently while contributing to a collaborative small team environment. Excellent communication skills - able to explain technical concepts to non-technical stakeholders. Desirable: Experience with LLM integration, prompt engineering, or agentic AI development. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Benefits Industry-leading training and development opportunities. Competitive salary with progression potential. 23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday, and the option to buy more! Company pension scheme and health cash plan with free access to a confidential Employee Assistance Programme (EAP). Life assurance, cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Long service recognition, and social events. To apply for the AI Developer position, please submit your CV to be immediately considered.
May 15, 2026
Full time
AI Developer Job Type: Full-Time, Permanent Location: Reading, hybrid working arrangements, 3 days a week onsite. Hours: Monday to Friday, 37.5 hours per week Salary: Competitive, dependent on experience An excellent new opportunity for a hands-on AI Developer efficient with coding, AI & DevOps to be at the forefront of AI-powered software development. You will be part of a small, agile team dedicated to building innovative solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. This role is perfect for someone who thrives on understanding how things work, is not afraid to experiment, and wants to shape how to deliver AI solutions to clients and evolve internal capabilities. Day-to-day of the role: Key Delivery Responsibilities: Design, develop, and deploy AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping, and proof-of-concept development to support client proposals. Internal Development and Enablement Responsibilities: Contribute to the development of internal AI tools, accelerators, and reusable components. Explore and evaluate emerging AI technologies, frameworks, and development approaches. Support the adoption of AI-assisted development practices (vibe coding, AI testing, agentic development) across the team. Help shape product strategy by identifying opportunities to package and position AI solutions. Participate in knowledge sharing, internal training, and capability building within the AI and Data Innovation team. Required Skills & Qualifications: Solid full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Hands-on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable ability to learn new technologies quickly and apply them practically. Strong problem-solving mindset with attention to code quality and engineering rigour. Comfortable working independently while contributing to a collaborative small team environment. Excellent communication skills - able to explain technical concepts to non-technical stakeholders. Desirable: Experience with LLM integration, prompt engineering, or agentic AI development. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Benefits Industry-leading training and development opportunities. Competitive salary with progression potential. 23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday, and the option to buy more! Company pension scheme and health cash plan with free access to a confidential Employee Assistance Programme (EAP). Life assurance, cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Long service recognition, and social events. To apply for the AI Developer position, please submit your CV to be immediately considered.
AI Engineer Salary: Up to £85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value. The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives. Responsibilities for the AI Engineer: Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready Deliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirements Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major cloud platforms including AI and ML services Solid foundation in software engineering principles for scalable, production-grade systems Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases Proven experience delivering full-stack AI or ML systems within enterprise environments Strong understanding of advanced agent architectures, reasoning systems and autonomous workflows Excellent communication and stakeholder management capability Experience supporting proposals, client-facing discussions or technical presentations If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence
May 14, 2026
Full time
AI Engineer Salary: Up to £85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value. The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives. Responsibilities for the AI Engineer: Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready Deliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirements Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major cloud platforms including AI and ML services Solid foundation in software engineering principles for scalable, production-grade systems Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases Proven experience delivering full-stack AI or ML systems within enterprise environments Strong understanding of advanced agent architectures, reasoning systems and autonomous workflows Excellent communication and stakeholder management capability Experience supporting proposals, client-facing discussions or technical presentations If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence
AI Forward Deployed Engineer (Multiple Levels) Hybrid: 3 days per week in Birmingham Permanent 50,000 - 99,000 + very competitive bonus We are partnering with a leading Consultancy as they continue to invest heavily in their Deals Technology and AI capability. As part of a major growth initiative, they are hiring AI Forward Deployed Engineers across multiple seniority levels (Senior Associate through to Senior Manager) to sit at the intersection of AI engineering and high-value business transactions. This is a unique opportunity to work on cutting-edge AI applications in live deal environments, helping clients navigate complex challenges across M&A, due diligence, integration, and post-deal value creation. What You'll Be Doing Designing and deploying AI-driven solutions directly into live scenarios Working closely with teams and clients to identify where AI can unlock value Building solutions using Large Language Models (LLMs), Agentic / autonomous AI workflows, Retrieval-Augmented Generation (RAG), Modern AI tooling (e.g. LangChain, vector databases, APIs) Rapidly prototyping and iterating on solutions within fast-paced timelines Translating complex technical concepts into practical, commercial outcomes Contributing to the development of reusable tools, frameworks, and best practices What They're Looking For Strong software engineering fundamentals (Python, APIs, version control, testing) Experience working with modern AI technologies, such as LLMs / Generative AI, RAG pipelines, Agent-based architectures Ability to work in fast-paced, ambiguous environments and deliver tangible outcomes quickly Strong communication skills and comfort working in client-facing settings A proactive mindset with a focus on building and delivering real solutions Level-Specific Expectations (Each level remains very hands-on still) Senior Associate Hands-on engineering focus Building and supporting delivery of AI solutions Ideal for candidates developing experience in applied AI Manager Owning end-to-end solution delivery Leading design and build of AI systems Balancing technical depth with stakeholder interaction Senior Manager Leading multiple engagements and influencing senior stakeholders Shaping AI strategy within deal environments Coaching teams and driving growth of the capability If you'd like to learn more, please contact Jacob Ferdinand at
May 13, 2026
Full time
AI Forward Deployed Engineer (Multiple Levels) Hybrid: 3 days per week in Birmingham Permanent 50,000 - 99,000 + very competitive bonus We are partnering with a leading Consultancy as they continue to invest heavily in their Deals Technology and AI capability. As part of a major growth initiative, they are hiring AI Forward Deployed Engineers across multiple seniority levels (Senior Associate through to Senior Manager) to sit at the intersection of AI engineering and high-value business transactions. This is a unique opportunity to work on cutting-edge AI applications in live deal environments, helping clients navigate complex challenges across M&A, due diligence, integration, and post-deal value creation. What You'll Be Doing Designing and deploying AI-driven solutions directly into live scenarios Working closely with teams and clients to identify where AI can unlock value Building solutions using Large Language Models (LLMs), Agentic / autonomous AI workflows, Retrieval-Augmented Generation (RAG), Modern AI tooling (e.g. LangChain, vector databases, APIs) Rapidly prototyping and iterating on solutions within fast-paced timelines Translating complex technical concepts into practical, commercial outcomes Contributing to the development of reusable tools, frameworks, and best practices What They're Looking For Strong software engineering fundamentals (Python, APIs, version control, testing) Experience working with modern AI technologies, such as LLMs / Generative AI, RAG pipelines, Agent-based architectures Ability to work in fast-paced, ambiguous environments and deliver tangible outcomes quickly Strong communication skills and comfort working in client-facing settings A proactive mindset with a focus on building and delivering real solutions Level-Specific Expectations (Each level remains very hands-on still) Senior Associate Hands-on engineering focus Building and supporting delivery of AI solutions Ideal for candidates developing experience in applied AI Manager Owning end-to-end solution delivery Leading design and build of AI systems Balancing technical depth with stakeholder interaction Senior Manager Leading multiple engagements and influencing senior stakeholders Shaping AI strategy within deal environments Coaching teams and driving growth of the capability If you'd like to learn more, please contact Jacob Ferdinand at
Solutions Engineer / AI / Agentic / Financial Services / FinTech / Forward Deployed / Pre-sales Senior Solutions Engineer Company: Agentic AI x Financial Services London (Hybrid) Salary: £90k-£120k + Equity We're working with a cutting-edge AI company building next-gen agentic systems set to transform financial services. They're hiring a Founding Solutions Engineer to bridge product, engineering, and customers owning the full journey from problem to deployed solution. What you'll do: Work directly with customers to understand complex problems and design scalable AI solutions Architect and deliver end-to-end implementations (from discovery deployment iteration) Lead demos, PoCs, and production rollouts Act as a trusted technical advisor across pre- & post-sales Stay hands-on with Python, APIs, and integrations Partner closely with engineering & product to shape what gets built What they're looking for: Solutions Engineer / Technical Consultant / Forward Deployed Engineer background Strong development experience + API/integration experience Proven track record delivering real-world technical solutions Ability to translate business needs into technical architecture Interest in AI/LLMs (agentic systems a big plus) Experience in financial services Solutions Engineer / AI / Agentic / Financial Services / FinTech / Forward Deployed / Pre-sales
May 13, 2026
Full time
Solutions Engineer / AI / Agentic / Financial Services / FinTech / Forward Deployed / Pre-sales Senior Solutions Engineer Company: Agentic AI x Financial Services London (Hybrid) Salary: £90k-£120k + Equity We're working with a cutting-edge AI company building next-gen agentic systems set to transform financial services. They're hiring a Founding Solutions Engineer to bridge product, engineering, and customers owning the full journey from problem to deployed solution. What you'll do: Work directly with customers to understand complex problems and design scalable AI solutions Architect and deliver end-to-end implementations (from discovery deployment iteration) Lead demos, PoCs, and production rollouts Act as a trusted technical advisor across pre- & post-sales Stay hands-on with Python, APIs, and integrations Partner closely with engineering & product to shape what gets built What they're looking for: Solutions Engineer / Technical Consultant / Forward Deployed Engineer background Strong development experience + API/integration experience Proven track record delivering real-world technical solutions Ability to translate business needs into technical architecture Interest in AI/LLMs (agentic systems a big plus) Experience in financial services Solutions Engineer / AI / Agentic / Financial Services / FinTech / Forward Deployed / Pre-sales
AI Forward Deployed Engineer (Multiple Levels) Hybrid: 3 days per week in Birmingham Permanent £50,000 - £99,000 + very competitive bonus We are partnering with a leading Consultancy as they continue to invest heavily in their Deals Technology and AI capability. As part of a major growth initiative, they are hiring AI Forward Deployed Engineers across multiple seniority levels (Senior Associate through to Senior Manager) to sit at the intersection of AI engineering and high-value business transactions. This is a unique opportunity to work on cutting-edge AI applications in live deal environments, helping clients navigate complex challenges across M&A, due diligence, integration, and post-deal value creation. What You'll Be Doing Designing and deploying AI-driven solutions directly into live scenarios Working closely with teams and clients to identify where AI can unlock value Building solutions using Large Language Models (LLMs), Agentic/autonomous AI workflows, Retrieval-Augmented Generation (RAG), Modern AI tooling (eg LangChain, vector databases, APIs) Rapidly prototyping and iterating on solutions within fast-paced timelines Translating complex technical concepts into practical, commercial outcomes Contributing to the development of reusable tools, frameworks, and best practices What They're Looking For Strong software engineering fundamentals (Python, APIs, version control, testing) Experience working with modern AI technologies, such as LLMs/Generative AI, RAG pipelines, Agent-based architectures Ability to work in fast-paced, ambiguous environments and deliver tangible outcomes quickly Strong communication skills and comfort working in client-facing settings A proactive mindset with a focus on building and delivering real solutions Level-Specific Expectations (Each level remains very hands-on still) Senior Associate Hands-on engineering focus Building and supporting delivery of AI solutions Ideal for candidates developing experience in applied AI Manager Owning end-to-end solution delivery Leading design and build of AI systems Balancing technical depth with stakeholder interaction Senior Manager Leading multiple engagements and influencing senior stakeholders Shaping AI strategy within deal environments Coaching teams and driving growth of the capability If you'd like to learn more, please contact Jacob Ferdinand
May 13, 2026
Full time
AI Forward Deployed Engineer (Multiple Levels) Hybrid: 3 days per week in Birmingham Permanent £50,000 - £99,000 + very competitive bonus We are partnering with a leading Consultancy as they continue to invest heavily in their Deals Technology and AI capability. As part of a major growth initiative, they are hiring AI Forward Deployed Engineers across multiple seniority levels (Senior Associate through to Senior Manager) to sit at the intersection of AI engineering and high-value business transactions. This is a unique opportunity to work on cutting-edge AI applications in live deal environments, helping clients navigate complex challenges across M&A, due diligence, integration, and post-deal value creation. What You'll Be Doing Designing and deploying AI-driven solutions directly into live scenarios Working closely with teams and clients to identify where AI can unlock value Building solutions using Large Language Models (LLMs), Agentic/autonomous AI workflows, Retrieval-Augmented Generation (RAG), Modern AI tooling (eg LangChain, vector databases, APIs) Rapidly prototyping and iterating on solutions within fast-paced timelines Translating complex technical concepts into practical, commercial outcomes Contributing to the development of reusable tools, frameworks, and best practices What They're Looking For Strong software engineering fundamentals (Python, APIs, version control, testing) Experience working with modern AI technologies, such as LLMs/Generative AI, RAG pipelines, Agent-based architectures Ability to work in fast-paced, ambiguous environments and deliver tangible outcomes quickly Strong communication skills and comfort working in client-facing settings A proactive mindset with a focus on building and delivering real solutions Level-Specific Expectations (Each level remains very hands-on still) Senior Associate Hands-on engineering focus Building and supporting delivery of AI solutions Ideal for candidates developing experience in applied AI Manager Owning end-to-end solution delivery Leading design and build of AI systems Balancing technical depth with stakeholder interaction Senior Manager Leading multiple engagements and influencing senior stakeholders Shaping AI strategy within deal environments Coaching teams and driving growth of the capability If you'd like to learn more, please contact Jacob Ferdinand
Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together. Director, Product Management - Platform Language We are a group of passionate product managers focused on delivering a world class platform as part of Genesys Cloud. As part of the core platform team, we are seeking a highly motivated and results-oriented Director to lead the evolution of localization and internationalization capabilities across our products. Our vision is to deliver a seamless, inclusive, and intuitive multilingual experience for every user and customer, regardless of geography, native language, or dialect. We aim to build foundational language capabilities that scale globally, support regional compliance and accessibility requirements, and drive user engagement across all international markets. As a Product Director, you will serve as the central point of ownership for the platform's language capabilities. You will work cross-functionally with engineering, UX, product, sales, and customer success teams to define the roadmap, drive execution, and continuously improve the way we support language across the product portfolio. Key Responsibilities: Own and drive the end-to-end product strategy for platform language capabilities, including localization, internationalization, and multilingual support Serve as the central point of contact and subject matter expert across the organization for all language-related platform initiatives Define and manage the language roadmap across the platform, prioritizing based on business impact, customer need, and technical feasibility Design and improve multi-language support across platform workflows - including seamless switching between agents and customers in different languages Define and monitor language quality metrics, ensuring translations are fit-for-purpose, culturally appropriate, and consistent across use cases Maintain and improve language completeness across UI, voice, AI, and documentation surfaces Establish benchmarks for language quality, performance, and adoption - including measurement frameworks, referenceability, and success criteria Define and continuously improve the process and velocity for enabling new languages, across UI, static text assets (STA), and AI/LLM-driven experiences Evaluate and incorporate regional localization requirements, including date/time formats, currency symbols, number formats, and address conventions Serve as the primary point of contact for sales and customer success teams regarding language-related customer questions, escalations, and support Drive analysis and competitive benchmarking (CI), identifying gaps and opportunities in comparison with competitors Conduct market and regional research to assess language requirements and user expectations in new geographies Explore and evaluate emerging language technologies, tools, and methodologies, including machine translation, LLMs, and hybrid models Track and tag language capabilities against revenue and pipeline data to inform prioritization and market opportunities Collaborate with reporting teams to improve language affinity tracking and visibility within product analytics Investigate ways to scale localization and translation capacity, improving efficiency and throughput Act in both a Product Manager and Project Manager capacity, ensuring alignment and execution across multiple internal stakeholders Coordinate across product, engineering, UX and regional teams to align and integrate all language-related efforts consistently across the platform Minimum Requirements: Bachelor's degree in computer science, Engineering, Linguistics, or related field 7+ years of product management experience or relevant technical role Experience with localization/internationalization, multilingual UX, or regional product strategy Familiarity with L10n/I18n frameworks, translation management systems, Unicode standards Strong technical aptitude to collaborate closely with engineering Excellent written and verbal communication skills Proven ability to deliver cross-functional projects on time and with impact Proven success in leading teams to deliver best in class solutions Self-starter with strong analytical skills and attention to detail Desirable Skills: Experience supporting platform-scale localization for SaaS or enterprise products Knowledge of accessibility standards and cultural nuances in UI/UX Background working with vendors or teams focused on translation, natural language processing (NLP), or voice technologies Passion for building inclusive, user-centered products for a global audience Experience benchmarking and analyzing competitors' localization capabilities Experience interacting with customers and partnersIf a Genesys employee referred you, please use the link they sent you to apply. About Genesys: Genesys(R) empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud(TM) is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit . Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase. Join our Talent Community.Genesys(R) empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud(TM) is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion,
May 12, 2026
Full time
Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together. Director, Product Management - Platform Language We are a group of passionate product managers focused on delivering a world class platform as part of Genesys Cloud. As part of the core platform team, we are seeking a highly motivated and results-oriented Director to lead the evolution of localization and internationalization capabilities across our products. Our vision is to deliver a seamless, inclusive, and intuitive multilingual experience for every user and customer, regardless of geography, native language, or dialect. We aim to build foundational language capabilities that scale globally, support regional compliance and accessibility requirements, and drive user engagement across all international markets. As a Product Director, you will serve as the central point of ownership for the platform's language capabilities. You will work cross-functionally with engineering, UX, product, sales, and customer success teams to define the roadmap, drive execution, and continuously improve the way we support language across the product portfolio. Key Responsibilities: Own and drive the end-to-end product strategy for platform language capabilities, including localization, internationalization, and multilingual support Serve as the central point of contact and subject matter expert across the organization for all language-related platform initiatives Define and manage the language roadmap across the platform, prioritizing based on business impact, customer need, and technical feasibility Design and improve multi-language support across platform workflows - including seamless switching between agents and customers in different languages Define and monitor language quality metrics, ensuring translations are fit-for-purpose, culturally appropriate, and consistent across use cases Maintain and improve language completeness across UI, voice, AI, and documentation surfaces Establish benchmarks for language quality, performance, and adoption - including measurement frameworks, referenceability, and success criteria Define and continuously improve the process and velocity for enabling new languages, across UI, static text assets (STA), and AI/LLM-driven experiences Evaluate and incorporate regional localization requirements, including date/time formats, currency symbols, number formats, and address conventions Serve as the primary point of contact for sales and customer success teams regarding language-related customer questions, escalations, and support Drive analysis and competitive benchmarking (CI), identifying gaps and opportunities in comparison with competitors Conduct market and regional research to assess language requirements and user expectations in new geographies Explore and evaluate emerging language technologies, tools, and methodologies, including machine translation, LLMs, and hybrid models Track and tag language capabilities against revenue and pipeline data to inform prioritization and market opportunities Collaborate with reporting teams to improve language affinity tracking and visibility within product analytics Investigate ways to scale localization and translation capacity, improving efficiency and throughput Act in both a Product Manager and Project Manager capacity, ensuring alignment and execution across multiple internal stakeholders Coordinate across product, engineering, UX and regional teams to align and integrate all language-related efforts consistently across the platform Minimum Requirements: Bachelor's degree in computer science, Engineering, Linguistics, or related field 7+ years of product management experience or relevant technical role Experience with localization/internationalization, multilingual UX, or regional product strategy Familiarity with L10n/I18n frameworks, translation management systems, Unicode standards Strong technical aptitude to collaborate closely with engineering Excellent written and verbal communication skills Proven ability to deliver cross-functional projects on time and with impact Proven success in leading teams to deliver best in class solutions Self-starter with strong analytical skills and attention to detail Desirable Skills: Experience supporting platform-scale localization for SaaS or enterprise products Knowledge of accessibility standards and cultural nuances in UI/UX Background working with vendors or teams focused on translation, natural language processing (NLP), or voice technologies Passion for building inclusive, user-centered products for a global audience Experience benchmarking and analyzing competitors' localization capabilities Experience interacting with customers and partnersIf a Genesys employee referred you, please use the link they sent you to apply. About Genesys: Genesys(R) empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud(TM) is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit . Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase. Join our Talent Community.Genesys(R) empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud(TM) is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion,
A market leader in AI solutions is seeking a well experienced Lead Developer to join their innovative engineering team. You'll be responsible for providing technical leadership, customer-facing (requirements gathering), solution design, delivery oversight for AI projects and products. You'll take the lead in understanding client processes, solution viability and ensuring technical deliverables align. In addition, you'd work closely with Architects, Project Managers and client stakeholders to deliver scalable and secure AI solutions. Work Type: Hybrid working based in Cheshire, 2-3 days on-site but can be flexible (rest of time WFH). Skills & Experience: A delivery-focused outlook and commercial awareness Experience engaging directly with clients to capture business processes and requirements The ability to balance hands-on coding expertise with solution viability analysis Experience mentoring developers and enforcing coding standards A strong background in .NET, Azure, and modern AI frameworks Excellent communication skills to bridge technical and non-technical stakeholders A passion for innovation and responsible AI practices Responsibilities: Engage directly with client stakeholders to capture and document business process requirements Translate business workflows into viable technical designs, backlog items, and deliverables Assess the feasibility and viability of solutions against business needs, budgets, and technical constraints Provide technical leadership across programmes and projects, coordinating outputs across delivery teams Support architects in solution design and integration patterns Mentor developers, fostering skill development and knowledge transfer Lead backlog refinement, sprint planning, and technical prioritisation activities Oversee quality assurance, code reviews, and unit testing to ensure delivery quality Ensure AI solutions adhere to secure coding, accessibility, and compliance standards Contribute to implementation of LLMs, RAG, Agentic AI, and related frameworks Manage DevOps pipelines and CI/CD practices in Azure Support delivery of cloud-first applications across Azure, Power Platform, and M365 Research and apply emerging AI and Microsoft technologies to improve product and solution delivery
Oct 06, 2025
Full time
A market leader in AI solutions is seeking a well experienced Lead Developer to join their innovative engineering team. You'll be responsible for providing technical leadership, customer-facing (requirements gathering), solution design, delivery oversight for AI projects and products. You'll take the lead in understanding client processes, solution viability and ensuring technical deliverables align. In addition, you'd work closely with Architects, Project Managers and client stakeholders to deliver scalable and secure AI solutions. Work Type: Hybrid working based in Cheshire, 2-3 days on-site but can be flexible (rest of time WFH). Skills & Experience: A delivery-focused outlook and commercial awareness Experience engaging directly with clients to capture business processes and requirements The ability to balance hands-on coding expertise with solution viability analysis Experience mentoring developers and enforcing coding standards A strong background in .NET, Azure, and modern AI frameworks Excellent communication skills to bridge technical and non-technical stakeholders A passion for innovation and responsible AI practices Responsibilities: Engage directly with client stakeholders to capture and document business process requirements Translate business workflows into viable technical designs, backlog items, and deliverables Assess the feasibility and viability of solutions against business needs, budgets, and technical constraints Provide technical leadership across programmes and projects, coordinating outputs across delivery teams Support architects in solution design and integration patterns Mentor developers, fostering skill development and knowledge transfer Lead backlog refinement, sprint planning, and technical prioritisation activities Oversee quality assurance, code reviews, and unit testing to ensure delivery quality Ensure AI solutions adhere to secure coding, accessibility, and compliance standards Contribute to implementation of LLMs, RAG, Agentic AI, and related frameworks Manage DevOps pipelines and CI/CD practices in Azure Support delivery of cloud-first applications across Azure, Power Platform, and M365 Research and apply emerging AI and Microsoft technologies to improve product and solution delivery
A market leader in AI solutions is seeking a well experienced Lead Developer to join their innovative engineering team. You'll be responsible for providing technical leadership, customer-facing (requirements gathering), solution design, delivery oversight for AI projects and products. You'll take the lead in understanding client processes, solution viability and ensuring technical deliverables align. In addition, you'd work closely with Architects, Project Managers and client stakeholders to deliver scalable and secure AI solutions. Work Type: Hybrid working based in Cheshire, 2-3 days on-site but can be flexible (rest of time WFH). Skills & Experience: A delivery-focused outlook and commercial awareness Experience engaging directly with clients to capture business processes and requirements The ability to balance hands-on coding expertise with solution viability analysis Experience mentoring developers and enforcing coding standards A strong background in .NET, Azure, and modern AI frameworks Excellent communication skills to bridge technical and non-technical stakeholders A passion for innovation and responsible AI practices Responsibilities: Engage directly with client stakeholders to capture and document business process requirements Translate business workflows into viable technical designs, backlog items, and deliverables Assess the feasibility and viability of solutions against business needs, budgets, and technical constraints Provide technical leadership across programmes and projects, coordinating outputs across delivery teams Support architects in solution design and integration patterns Mentor developers, fostering skill development and knowledge transfer Lead backlog refinement, sprint planning, and technical prioritisation activities Oversee quality assurance, code reviews, and unit testing to ensure delivery quality Ensure AI solutions adhere to secure coding, accessibility, and compliance standards Contribute to implementation of LLMs, RAG, Agentic AI, and related frameworks Manage DevOps pipelines and CI/CD practices in Azure Support delivery of cloud-first applications across Azure, Power Platform, and M365 Research and apply emerging AI and Microsoft technologies to improve product and solution delivery
Sep 22, 2025
Full time
A market leader in AI solutions is seeking a well experienced Lead Developer to join their innovative engineering team. You'll be responsible for providing technical leadership, customer-facing (requirements gathering), solution design, delivery oversight for AI projects and products. You'll take the lead in understanding client processes, solution viability and ensuring technical deliverables align. In addition, you'd work closely with Architects, Project Managers and client stakeholders to deliver scalable and secure AI solutions. Work Type: Hybrid working based in Cheshire, 2-3 days on-site but can be flexible (rest of time WFH). Skills & Experience: A delivery-focused outlook and commercial awareness Experience engaging directly with clients to capture business processes and requirements The ability to balance hands-on coding expertise with solution viability analysis Experience mentoring developers and enforcing coding standards A strong background in .NET, Azure, and modern AI frameworks Excellent communication skills to bridge technical and non-technical stakeholders A passion for innovation and responsible AI practices Responsibilities: Engage directly with client stakeholders to capture and document business process requirements Translate business workflows into viable technical designs, backlog items, and deliverables Assess the feasibility and viability of solutions against business needs, budgets, and technical constraints Provide technical leadership across programmes and projects, coordinating outputs across delivery teams Support architects in solution design and integration patterns Mentor developers, fostering skill development and knowledge transfer Lead backlog refinement, sprint planning, and technical prioritisation activities Oversee quality assurance, code reviews, and unit testing to ensure delivery quality Ensure AI solutions adhere to secure coding, accessibility, and compliance standards Contribute to implementation of LLMs, RAG, Agentic AI, and related frameworks Manage DevOps pipelines and CI/CD practices in Azure Support delivery of cloud-first applications across Azure, Power Platform, and M365 Research and apply emerging AI and Microsoft technologies to improve product and solution delivery
