28 jobs found

Senior Delivery Lead (Cognitive Automation Ecosystem) 6-Month contract - Inside IR35 - market rate Heathrow based - hybrid working - up to 3 days a week onsite About the Role The Cognitive Automation Ecosystem team turns agentic automation and AI from isolated initiatives into a safe, scalable, enterprise capability. It provides the platform, guardrails, and shared services that agentic delivery and run teams rely upon to scale safely and effectively across the business. This is a hands-on delivery role for someone who genuinely enjoys bringing order to complexity. You'll lead delivery across multiple technology programmes, where competing priorities, shared resources, and fast-moving timelines are the norm, not the exception. You'll work through influence rather than authority, earning trust quickly, pushing back when needed, and keeping the squad moving without creating bureaucratic drag. There is no dedicated product lead, so you'll work closely with the Technical Lead to shape priorities and turn requirements into clear, sequenced delivery outcomes. What You'll Own Team Leadership & Delivery Lead a small team of contract engineers, setting clear direction and keeping delivery on track Create a high-performing, psychologically safe, delivery-focused culture with clarity of ownership and high standards Communicate credibly with senior stakeholders and step in quickly when things wobble Governance, Planning & Reporting Own integrated plans, milestones, dependencies, delivery cadence, and estimation across concurrent workstreams, using delivery data to maintain realistic forecasts Run governance that protects the organisation without creating drag, keeping teams aligned to guardrails and standards Keep RAID, decisions, and reporting up-to-date; anticipate potential issues early Roadmap, Backlog & Documentation Own a clear, prioritised roadmap and delivery-ready backlog, balancing strategic value, capacity, and stakeholder demand Ensure delivery artefacts, decisions, and requirements are maintained at source, current, and audit-ready with minimal manual effort Push back on vague, low-value, or poorly defined work; if it is not clear, it is not ready Ensure teams generate accurate, timely delivery data as part of day-to-day working, with strong Jira discipline and minimal reliance on manual reporting Cross-Functional Coordination & Accountability Operate as the connective tissue across Product, Tech, Engineering, Architecture, and business stakeholders, keeping dependencies and sequencing visible Influence peers and senior stakeholders through credibility, judgement, and consistency rather than formal authority Hold teams to commitments with clarity and follow-through, driving a culture of accountability, delivery discipline, and early escalation Ecosystem Build & Reuse Help shape the agent ecosystem around reusable enterprise capabilities, shared services, and orchestration patterns Spot duplication early and work with technical leads so teams do not build the same thing twice What We're Looking For Experience 10+ years leading technology delivery in complex, high-accountability environments with multiple senior stakeholders Strong track record of delivering applied AI, automation, data, or API-led products from ambiguity to measurable business value Experience turning business priorities into clear roadmaps and sequenced delivery plans. Strong delivery leadership across concurrent initiatives with shared resources, tight dependencies, and competing deadlines Experience raising delivery standards in environments that needed more structure, pace, and accountability Understanding of modern cloud and enterprise technology environments, with enough technical fluency to challenge, prioritise, and make sound trade-offs Skills & Attributes Excellent at bringing structure to ambiguity and turning complexity into clear, executable plans Confident making tough calls, challenging constructively, and holding teams and stakeholders to commitments Strong judgement on priority, pace, and trade-offs; knows when to push, when to simplify, and when to escalate Influences through credibility, clarity, and consistency rather than relying on hierarchy Communicates effectively across engineering, product, and executive audiences Experience in complex operational environments where reliability, coordination, and governance matter Preferred Experience in platform-led or enterprise capability teams rather than single-product delivery Exposure to agent frameworks, orchestration patterns, or AI operating models in enterprise settings 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 Java Developer with a focus on Agentic Coding IntaPeople are working exclusively with a fintech scaleup in Cardiff and require a Senior Java Engineer with experience of agentic cofing join a new team. This is a hybrid role with 3 days per week in the Cardiff office. About the role: This role is within a new, leaner team and will be leveraging AI to build new features from scratch. This role will be utilising Claude.ai for AI model development. We are open to mid-levels (who are close to the senior mark)and established senior Java Developers to join a high performing team. They have agentic workflows set so you will need to hit the road running with agentic coding A financial service background is preferred. This company offers a structured roadmap in terms of progression. Having worked with this company for the last 7 years, I have seen more internal progression than in any other employer. About you: Commercial experience of agentic coding is essential for this role. You know how to train AI agents to deliver complex code that works. You will have worked commercially with Java (versions 8+) building APIs and microservices with Spring Boot for 5 years minimum. Any cloud experience is a nice to have. They have an AWS cloud infrastructure but any interaction with AWS, GCP or Azure would be an advantage. You re a hungry dev who wants to keep developing their skills, learning new things and collaborating with the wider team. For a confidential chat about the role, send a copy of your CV to (url removed) and we will set up a call

We're partnered with one of the world's largest information, publishing, events, and market intelligence businesses, who are building out a brand new AI project team within one of their core business units. This role is outside IR35. They are looking for 2 x Data Scientists to join a high-impact project focused on developing next-generation AI products across multiple global brands. The Project You'll be working on cutting-edge initiatives across: Chatbot and conversational AI development Agentic AI systems LLM-driven product development AI-powered B2B marketing agents Multi-brand AI integrations and workflows This is an opportunity to work on genuinely innovative AI solutions within a large-scale commercial environment, while still operating in a lean, fast-moving team. Environment You'll join a team of 3 focused specifically on the project, sitting within a wider 25-person Data & AI function. The business offers the scale, backing, and data availability of a global organisation, while giving engineers and data scientists strong ownership over product direction and delivery. Contract Details Outside IR35 Initial 3-month contract Hybrid working from London Victoria Day rate dependent on experience Immediate interviews Ideal Background They are keen to speak with Data Scientists who have experience across: Large Language Models (LLMs) Agentic AI systems Chatbot platforms NLP and generative AI AI product development Python and modern ML tooling Experience deploying AI products into production environments would be highly beneficial. If interested, please apply or send your CV across for more information.

We are professionals with purpose, beating cancer every day. But we need to go much further and much faster. That's why we're looking for someone talented, someone who wants to develop their skills, someone like you. £81,000-£85,000 (+ Benefits) Directorate : Chief Operating Office Contract: Permanent Hours: Full time 35 hours per week Location: Stratford, London . Office-based with high flexibility (1-2 days per week in the office) External closing date: 5th July 2026 Internal closing date: 10th July 2026 This vacancy may close earlier if a high volume of applications is received or once a suitable candidate is found, therefore we strongly recommend that you apply early to avoid disappointment. If you require more time to apply as part of a reasonable adjustment, please contact as soon as possible. Recruitment process: Screening call at 1 st stage, and 2 nd stage Technical interview with Technical test How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity, and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to fully complete the work history section of the online application form for us to be able to assess you quickly, fairly, and objectively. At Cancer Research UK, we exist to beat cancer. We're looking for an experienced Data Engineering Manager to act as the lead for new data engineering technologies, setting standards, providing technical guidance, and ensuring consistent capability across the organisation, driving the design, scale, and optimisation of our data platform. This role combines hands-on technical leadership across Snowflake, dbt, AWS, and Python with strong people leadership, championing best practices in DataOps, observability, and dimensional modelling. You'll play a key role in enabling Data Product delivery by building reliable, high-performance data pipelines, enhancing metadata and data catalog capabilities, and embedding AI tools and use cases within the engineering team. Working in an agile environment, you'll foster a culture of innovation, collaboration, and continuous improvement while helping shape our data-driven future. What will I be doing? Design, develop, and maintain scalable, efficient, and reliable data products using Snowflake, dbt, AWS, Python alongside Data Observability, Data Quality and Data Catalog/Discovery tools. Delivering highly governed data pipelines end to end. Thought leadership and expert in dimensional modelling and data warehousing best practices to ensure efficient data product provisioning and that data is structured optimally and cost efficiently for analytics, reporting, business intelligence or for other consumer data product use. Technical leadership for CRUK Data Engineering. Developing collaborations and relationships with other CRUK Data & Technology teams (e.g. Engineering, Architecture, Data Operations and Governance), departments and partners. Drive best practice and high-performance software delivery through DataOps principles to automate workflows, improve data quality, and accelerate delivery Establish observability frameworks (monitoring, logging, alerting) to ensure data pipeline health and performance in adherence to Data Product maturity acceptance criteria. Develop and maintain metadata for Data Products and data assets to enrich and enable a functioning Data Catalog to improve discoverability, governance, and metadata management for Data Product accessibility. Lead, mentor, and grow a team of data engineers, fostering a culture of engineering excellence, collaboration, agile practices and continuous improvement. Set clear technical direction, prioritise delivery, and coach team members. Grow AI skills and adoption within the team pivoting ways of working with agentic AI and skilling Data Engineers to work in the AI age. Promote best practices in software engineering (code reviews, testing, CI/CD, documentation) in line with DataOps principles and our aspirations for greater efficiencies through AI adoption. What skills will I need? Multiple years of experience in data / analytics engineering, with at least significant time spent in a leadership/management role. Hands-on expertise with: Snowflake (data warehousing, performance tuning, cost optimization, Horizon Catalog, Cortex). dbt (modular analytics engineering, transformations, testing). AWS Python proficiency as a data engineer and Orchestration tools (e.g. Airflow) Data and Dimensional modelling (star schema, Kimball/Inmon methodologies, OBT). AI - copilots, agentic AI, MCP Servers Strong understanding of DataOps, CI/CD, git, and data observability. Experience with data catalog/discovery tools Familiarity with data governance, security, and compliance (GDPR). Proven ability to lead, mentor, and nurture high-performing, inclusive engineering teams. Strong communication and stakeholder management skills with an ability to simplify and convey complex problems (technical concepts to non-technical audiences). Problem-solving mindset with a focus on scalability, reliability, and efficiency. Ability to balance technical depth with business impact. Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human: Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience we'd still love to hear from you. Internal eligibility criteria Internal candidates should ideally have completed their 6-month 'getting started' period before applying for other roles. You should also advise your current line manager at the point you make an internal application, or at the latest, at the point of being invited for an interview. All internal candidates applying for a secondment, must have: Completed their getting started period Discussed their intention to apply and gained approval to apply with their line manager Been in their substantive (home) role for at least 6 months (this is only applicable if you have previously been on secondment) If you do not confirm that you meet these requirements, we will not be able to progress your application. For information about internal learning and development at Cancer Research UK please visit Fuse. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. Additional Information For more information about working with us please visit our website or contact us at . For more updates on our work and careers, follow us on: LinkedIn, Facebook, Instagram, X and YouTube.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do The Principal IAM Engineer is the senior technical authority for identity services, responsible for designing, implementing, and governing enterprise-wide IAM capabilities across workforce, partner, and customer identities. This role combines deep hands-on engineering with architecture and leadership, driving the modernization of authentication, authorization, identity lifecycle, and privileged access controls across our cloud and on-prem environments. Responsibilities: Own the end to end technical delivery of IAM services, including identity lifecycle management, authentication, authorization, SSO, and privileged access controls, ensuring they are secure, scalable, and highly available. Lead design sessions, collaborating with Entrprise Architecture, and implementation of IAM integrations for SaaS, on prem, and AWS cloud platforms, including federation (SAML, OIDC, OAuth), MFA, and Passwordless capabilities. Serve as the primary escalation point for complex IAM engineering issues; perform root cause analysis and drive long term remediation and hardening of IAM platforms and related services. Partner with security architecture, infrastructure, application, and HR/IT teams to align IAM solutions with enterprise security strategy, compliance obligations, and business objectives. Define IAM engineering standards, patterns, and reference architectures; guide other engineers in implementing secure onboarding patterns for applications into IGA, PAM, and SSO platforms. Lead modernization initiatives. Contribute to audits, risk assessments, and regulatory reviews by providing technical evidence, designing compensating controls, and closing identified IAM control gaps. Mentor and coach IAM engineers and analysts, promoting engineering excellence, documentation discipline, and a culture of continuous learning and improvement. What You'll Bring 10+ years of experience in information security or infrastructure engineering, with at least 5 years of hands-on-keyboard experience with core IAM platforms. Deep expertise with the majority of our IAM stack Strong hands-on experience with Microsoft Entra ID and Active Directory as foundational directory services, and extensive experience implementing federation protocols (SAML, OIDC, OAuth2). Proven track record designing and implementing IAM solutions in hybrid multi-cloud environments, including the automation of provisioning, access reviews, and RBAC/ABAC models. Experience with secrets management solutions. Proficiency in at least one scripting or programming language (such as PowerShell, Python, or Java) to automate tasks and build custom connectors for our IAM tools. Excellent communication skills with the ability to translate complex technical concepts related to our IAM ecosystem for both technical and non-technical stakeholders. Exceptional sense of ownership and the ability to work with a limited set of requirements. Highly advanced ability to breakdown work to deliver value incrementally. Experience leading large-scale IAM programs. Prior responsibility as a technical lead or architect for IAM, including mentoring teams and influencing roadmaps beyond direct reporting lines. Demonstrated ability to balance security, usability, and operational efficiency, with a strong bias toward automation and measurable risk reduction. Define and lead the implementation of the organization's security strategy, with a focus on Cloud Security, Identity Access Management, and all other aspects of Cybersecurity Oversee the deployment of IAM solutions across both on-premise and cloud environments, ensuring they meet the highest standards of security. Lead the most complex security assessments, including threat modeling, red teaming, and cloud security reviews. Collaborate with executive leadership to ensure that security initiatives align with the organization's strategic goals and risk appetite. Act as the technical lead for large-scale security projects, coordinating cross-functional teams to ensure successful delivery. Architect and implement solutions across workforce IAM, PAM, and customer IAM ecosystems. Provide thought leadership in adopting passwordless authentication, passkeys, adaptive MFA, and AI-driven access orchestration strategies Engineer integrations with Agentic AI tools for intelligent decisioning, policy enforcement, and autonomous identity lifecycle operations. Develop and implement automated provisioning/deprovisioning workflows Ensure integration of IAM with cloud platforms (Azure, AWS, GCP) and SaaS applications. Mentor and develop the skills of senior security engineers, fostering a culture of continuous improvement and innovation. Technical Experience Must-Have: Privileged Access management (CyberArk) Authentication/AuthN (Okta) Federated Identity (EntraID) Cloud Identity (AWS, GCP, Azure) Automation (terraform, codex, claude) Application SSO (OIDC, SAML) Identity Governance (Sailpoint, Okta, Veza) Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will lead the Developer Experience pillar of the Platform Experience Portfolio, with end-to-end accountability for the tools, paved roads, and engineering enablement that make BCG's software builders faster, safer, and more capable in the AI era. Spanning the Engineering Toolkit, SDLC, and Dev Productivity squads, you will lead a multi-million-dollar capability that serves engineering leaders across BCG X, Platinion, Helix, Core IT, and EP&E - partnering closely with them on requirements, priorities, and adoption rather than dictating how their teams build. You will be measured on the impact your tooling and enablement help BCG'S digital builders to achieve. Success is the workflow change, productivity gain, and outcome lift partner orgs commit to and that your platform makes possible: cycle time, defect rates, cost-per-delivery, and the metrics they own. This role is a deliberate pivot. AI-powered engineering tooling is no longer a back-office productivity play - it has become core to how BCG wins and delivers client work. You will move DevEx out of an IT-for-IT mindset and bring it commercially close to the teams that build for clients - BCG X and Platinion above all - treating their engineering leaders not as internal stakeholders but as the customers whose commercial success your platform exists to accelerate. Key responsibilities include: Set the DevEx strategy, roadmap, and quarterly OKRs for the Engineering Toolkit, SDLC, and Dev Productivity squads - shaped by deep, continuous engagement with engineering leadership across BCG X, Platinion, Helix, Core IT, and EP&E on their priorities, constraints, and unmet needs Lead and grow the DevEx organization, line-managing the Team Lead and squad leads (Engineering Toolkit, SDLC, Dev Productivity); develop senior engineers and managers who can engage credibly with partner-org technical leadership on their hardest problems Build and operate the DevEx adoption and outcome reporting that the firm relies on - tool adoption telemetry to drive lifecycle management decisions (rollout, scale, sunset), workflow signals that show whether ways of working are actually changing, and outcome metrics tied to partner-org delivery performance - in partnership with engineering leaders across BCG X, Platinion, Helix, and Core IT Partner closely with Project Helix, AI Factory and Digital Engineering leadership on platform-side enablement - understanding their evolving requirements, supplying the engineering capabilities they depend on, and committing to clear SLAs on what DevEx will deliver in support of PA build teams Convene the partnerships needed to land enablement at scale - co-designing curriculum and certification with Learning & Development, evolving team rituals and ways-of-working with the Agile Center of Excellence, and ensuring tooling and process change move together rather than in isolation Manage the DevEx tooling portfolio across its full lifecycle - vendor selection and contract negotiation, adoption monitoring, consolidation and sunset decisions - in close partnership with FinOps on consumption economics, unit costs, and chargeback models that fairly attribute platform spend back to the partner orgs consuming it Represent DevEx in the Platform Experience leadership team and EP&E governance forums; co-own portfolio coherence with the Digital Build Experience and Customer Engagement pillar leads; convene cross-portfolio working groups where shared standards or paved roads serve everyone Make the secure path the easy path - embedding zero-trust and secure-by-default principles into the developer toolchain so that agentic and AI-assisted workflows ship with the right guardrails for client data, IP protection, and regulatory posture by default, not by exception YOU'RE GOOD AT Leading enablement and platform organizations that serve other engineering teams as customers - running them with a product mindset, not a service-desk one Helping engineering leaders see what is and isn't actually changing in how their teams work - through telemetry, instrumentation, and honest conversations Partnering with senior engineering leadership across BCG X, Platinion, Helix, Core IT, and the PA community - listening hard, translating their requirements into platform commitments, and earning the right to influence their roadmaps Working through hard trade-offs with partner organizations - speed vs. standardization, build vs. buy, consolidation vs. proliferation - and finding shared answers rather than imposing them Cutting through hype to help our engineering organizations adopt new capabilities sustainably - turning experiments into shared platform patterns rather than letting fragmentation accumulate across teams What You'll Bring Senior-level engineering and platform leadership experience, with a track record of growing scope and accountability across engineering enablement, platform delivery, or technical program leadership; internal candidates with demonstrated impact in equivalent roles strongly considered Demonstrated track record helping engineering organizations land developer productivity outcomes - including firm-wide AI/agentic platform buildouts, SDLC modernization, paved-road platforms, IDE/CI/CD ecosystems - with measurable impact on cycle time, throughput, adoption, or cost-per-delivery ç Hands-on experience building firm-scale AI engineering platforms - including model gateways, governance, consumption economics, and the change-management work needed to land them with engineering customers; deep familiarity with the modern stack (coding agents, low-code/AI builders, governance harnesses) Proven leadership of senior engineering work - through direct management, technical leadership, or cross-functional ownership; able to grow influence and accountability over time, and to bring senior engineering managers and ICs along on a shared agenda Demonstrated ownership of vendor and tool portfolios at multi-million-dollar scale - contract negotiation, consumption economics, chargeback model design, consolidation and sunset decisions - with credibility to engage senior partners across legal, procurement, and finance Experience inside a consulting, professional-services, or fast-moving product environment is a strong plus - particularly where you have served senior partners, MDPs, or principal enginee Who You'll Work With The Platform Experience leadership team - the Portfolio Lead and peer Pillar Leads (Digital Build Experience, Customer Engagement) BCG X and Platinion engineering leadership - your primary commercial customers, whose teams build software for clients and whose success the DevEx platform exists to accelerate Project Helix Management Team and the AI Factory leadership - on the platform-side enablement that supports PA build teams EP&E sister portfolios - Digital Engineering, Data Platform Engineering, Secure Infrastructure Engineering, IT Business Platforms - and the Delivery Owners across them Platform Management (FinOps, Governance, Strategy), Learning & Development, the Agile CoE, and senior partners across the PA leadership community Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do You will lead the Developer Experience pillar of the Platform Experience Portfolio, with end-to-end accountability for the tools, paved roads, and engineering enablement that make BCG's software builders faster, safer, and more capable in the AI era. Spanning the Engineering Toolkit, SDLC, and Dev Productivity squads, you will lead a multi-million-dollar capability that serves engineering leaders across BCG X, Platinion, Helix, Core IT, and EP&E - partnering closely with them on requirements, priorities, and adoption rather than dictating how their teams build. You will be measured on the impact your tooling and enablement help BCG'S digital builders to achieve. Success is the workflow change, productivity gain, and outcome lift partner orgs commit to and that your platform makes possible: cycle time, defect rates, cost-per-delivery, and the metrics they own. This role is a deliberate pivot. AI-powered engineering tooling is no longer a back-office productivity play - it has become core to how BCG wins and delivers client work. You will move DevEx out of an IT-for-IT mindset and bring it commercially close to the teams that build for clients - BCG X and Platinion above all - treating their engineering leaders not as internal stakeholders but as the customers whose commercial success your platform exists to accelerate. Key responsibilities include: Set the DevEx strategy, roadmap, and quarterly OKRs for the Engineering Toolkit, SDLC, and Dev Productivity squads - shaped by deep, continuous engagement with engineering leadership across BCG X, Platinion, Helix, Core IT, and EP&E on their priorities, constraints, and unmet needs Lead and grow the DevEx organization, line-managing the Team Lead and squad leads (Engineering Toolkit, SDLC, Dev Productivity); develop senior engineers and managers who can engage credibly with partner-org technical leadership on their hardest problems Build and operate the DevEx adoption and outcome reporting that the firm relies on - tool adoption telemetry to drive lifecycle management decisions (rollout, scale, sunset), workflow signals that show whether ways of working are actually changing, and outcome metrics tied to partner-org delivery performance - in partnership with engineering leaders across BCG X, Platinion, Helix, and Core IT Partner closely with Project Helix, AI Factory and Digital Engineering leadership on platform-side enablement - understanding their evolving requirements, supplying the engineering capabilities they depend on, and committing to clear SLAs on what DevEx will deliver in support of PA build teams Convene the partnerships needed to land enablement at scale - co-designing curriculum and certification with Learning & Development, evolving team rituals and ways-of-working with the Agile Center of Excellence, and ensuring tooling and process change move together rather than in isolation Manage the DevEx tooling portfolio across its full lifecycle - vendor selection and contract negotiation, adoption monitoring, consolidation and sunset decisions - in close partnership with FinOps on consumption economics, unit costs, and chargeback models that fairly attribute platform spend back to the partner orgs consuming it Represent DevEx in the Platform Experience leadership team and EP&E governance forums; co-own portfolio coherence with the Digital Build Experience and Customer Engagement pillar leads; convene cross-portfolio working groups where shared standards or paved roads serve everyone Make the secure path the easy path - embedding zero-trust and secure-by-default principles into the developer toolchain so that agentic and AI-assisted workflows ship with the right guardrails for client data, IP protection, and regulatory posture by default, not by exception YOU'RE GOOD AT Leading enablement and platform organizations that serve other engineering teams as customers - running them with a product mindset, not a service-desk one Helping engineering leaders see what is and isn't actually changing in how their teams work - through telemetry, instrumentation, and honest conversations Partnering with senior engineering leadership across BCG X, Platinion, Helix, Core IT, and the PA community - listening hard, translating their requirements into platform commitments, and earning the right to influence their roadmaps Working through hard trade-offs with partner organizations - speed vs. standardization, build vs. buy, consolidation vs. proliferation - and finding shared answers rather than imposing them Cutting through hype to help our engineering organizations adopt new capabilities sustainably - turning experiments into shared platform patterns rather than letting fragmentation accumulate across teams What You'll Bring Senior-level engineering and platform leadership experience, with a track record of growing scope and accountability across engineering enablement, platform delivery, or technical program leadership; internal candidates with demonstrated impact in equivalent roles strongly considered Demonstrated track record helping engineering organizations land developer productivity outcomes - including firm-wide AI/agentic platform buildouts, SDLC modernization, paved-road platforms, IDE/CI/CD ecosystems - with measurable impact on cycle time, throughput, adoption, or cost-per-delivery ç Hands-on experience building firm-scale AI engineering platforms - including model gateways, governance, consumption economics, and the change-management work needed to land them with engineering customers; deep familiarity with the modern stack (coding agents, low-code/AI builders, governance harnesses) Proven leadership of senior engineering work - through direct management, technical leadership, or cross-functional ownership; able to grow influence and accountability over time, and to bring senior engineering managers and ICs along on a shared agenda Demonstrated ownership of vendor and tool portfolios at multi-million-dollar scale - contract negotiation, consumption economics, chargeback model design, consolidation and sunset decisions - with credibility to engage senior partners across legal, procurement, and finance Experience inside a consulting, professional-services, or fast-moving product environment is a strong plus - particularly where you have served senior partners, MDPs, or principal enginee Who You'll Work With The Platform Experience leadership team - the Portfolio Lead and peer Pillar Leads (Digital Build Experience, Customer Engagement) BCG X and Platinion engineering leadership - your primary commercial customers, whose teams build software for clients and whose success the DevEx platform exists to accelerate Project Helix Management Team and the AI Factory leadership - on the platform-side enablement that supports PA build teams EP&E sister portfolios - Digital Engineering, Data Platform Engineering, Secure Infrastructure Engineering, IT Business Platforms - and the Delivery Owners across them Platform Management (FinOps, Governance, Strategy), Learning & Development, the Agile CoE, and senior partners across the PA leadership community Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Senior GCP Platform Engineer/Architect (Freelance/Contract) - Agentic ERP Platform - Fully Remote - Anywhere Location: Remote/Anywhere Contract Type: Freelance/Independent Contractor Commitment: Flexible, part time (0-25 hours per week Dependent on customer demand) Position Summary We are actively seeking a Senior GCP Platform Engineer/Architect - Agentic ERP Platform This is a remote, part time contract opportunity supporting the delivery of next-generation Agentic ERP capabilities on Google Cloud. Work is provided on an as-needed basis, depending on customer demand and project requirements. Reporting to the VP of Platform Engineering, you will design and build the Google Cloud platform that enables AI agents to securely interact with enterprise ERP systems. This role combines deep GCP expertise with modern AI platform e ngineering, enterprise integration and cloud architecture. Essential Responsibilities GCP AI & Platform Engineering: Design and implement production AI agents using Vertex AI Agent Builder. Build retrieval, vector search and knowledge architectures using Vertex AI, BigQuery and Cloud SQL/AlloyDB. Integrate Gemini and Model Garden models into scalable, model-agnostic solutions. Implement guardrails using Vertex AI Safety Filters and Model Armor. Evaluate and adopt new Vertex AI capabilities. Cloud Architecture: Design solutions using Cloud Run, GKE, Cloud Functions and Workflows. Build event-driven architectures with Pub/Sub, Eventarc and Cloud Tasks. Design secure networking using VPC, Private Service Connect and Cloud Interconnect. Develop API architectures using Apigee and API Gateway. Build customer-isolated, multi-project Google Cloud environments. Infrastructure & Delivery: Deliver Infrastructure as Code using Terraform and Config Connector. Design IAM, Workload Identity Federation and Cloud KMS strategies. Build CI/CD pipelines and deployment automation. Create reusable Terraform modules and reference architectures. Support customer deployments and technical architecture reviews. Required Experience: 8+ years of hands-on Google Cloud engineering experience. 3+ years in a Senior Engineer or Architect role. Production experience with Vertex AI, Agent Builder or similar AI platforms. Experience integrating cloud platforms with enterprise applications or ERP systems. Strong experience designing secure, multi-project Google Cloud environments. Strong Python development skills. Required Technical Skills: Google Cloud: Cloud Run, GKE, Cloud Functions, Compute Engine. Vertex AI, Model Garden and Agent Builder. Terraform and Infrastructure as Code. Kubernetes and container platforms. IAM, Cloud KMS and Workload Identity Federation. VPC, Private Service Connect and Cloud Interconnect. REST APIs, Apigee or API Gateway. Cloud Monitoring, Logging and Observability. Git and CI/CD pipelines. Preferred Experience: LangChain, Pydantic AI or similar agent frameworks. BigQuery and AI-enabled analytics. Vector databases and semantic search. Java integration experience. Google Cloud Professional certifications. SAP, Oracle EBS, JD Edwards or other enterprise ERP platforms. Experience working within regulated enterprise environments. Skills & Competencies: Strong Google Cloud architecture and platform engineering expertise. Practical understanding of production AI and agentic architectures. Excellent problem-solving and technical communication skills. Ability to produce high-quality technical documentation and reference architectures. Customer-focused with an understanding of enterprise security, governance and compliance. Self-motivated and effective in a distributed, remote-first environment. Fluent English, both written and spoken. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering or a related discipline. Active Google Cloud Professional certifications are highly desirable. Contributions to open-source projects, technical communities or public speaking are advantageous.

Senior Software Engineer, AI Location: London (Hybrid: 2 days in office, 3 days remote) Position Type: Permanent Are you a seasoned software engineer passionate about pushing the boundaries of what's possible with Generative AI? We are a leading global provider of financial information services, insights, data, and analytics. We are currently seeking a Senior Software Engineer, AI to join our team in London. In this role, you will drive high-impact AI initiatives, design production-ready generative AI platforms, and build scalable, enterprise-grade solutions that shape the future of global markets. What We Offer Transformative AI Impact: Design and deploy production-ready GenAI platforms, multi-agent systems, and intelligent automation that reshape products in real-time. Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection of advanced engineering and product development within a collaborative, innovation-driven environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build Robust Infrastructure: Develop enterprise-scale APIs (FastAPI) and architect comprehensive cloud-based AI infrastructure on AWS/Azure optimized for scalability and performance. Demonstrate Full-Stack Excellence: Apply your expertise across the entire technology stack to seamlessly integrate AI capabilities into user-facing products and backend systems. What You Need to Have Experience: 7+ years of professional experience designing, developing, and deploying production-grade applications, with 5+ years specifically in full-stack enterprise software engineering. Core Skills: Advanced Python programming with strong backend development capabilities. AI Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders. 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.

AI Agentic Engineer (MedTech) We re partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical and operational decision-making. This is a highly impactful role where you ll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. You ll be joining a forward-thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What you ll be doing You ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You ll work closely with product and engineering teams to translate clinical and operational requirements into scalable AI-driven solutions, while ensuring safety, reliability, and interpretability are built into everything you deliver. What we re looking for We re looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version control, scalable design) Bonus experience: Background in healthcare, life sciences, or regulated environments Experience with AI safety, evaluation, or model monitoring Familiarity with distributed systems or event-driven architectures Location & working style This role is based in Newcastle, with hybrid working available. Why join? This is a rare opportunity to work on cutting-edge AI systems in a mission-driven MedTech environment, where your work will have direct real-world impact. You ll be joining a highly technical team solving meaningful problems with modern AI approaches. Interested? Please Click Apply Now! AI Agentic Engineer (MedTech)

Location: Glasgow Head Office Full time, permanent role (37.5 hours per week) JOB PURPOSE: This role will be responsible for driving the design, architecture and delivery of AI-powered solutions across the group. It will be critical in implementing production-grade systems that leverage LLMs, with a focus on reliability and cost-aware deployment. As a Lead, this role will bridge cutting-edge research and production engineering - setting technical direction, mentoring a high-performing team, and ensuring AI solutions are robust, scalable, and responsible. PRINCIPAL TASKS AND RESPONSIBILITIES Design and implement secure and scalable LLM-powered applications using modern Generative AI architectures Collaborate with product, data and ops team to identify the issues in hand and explore how AI can open up new ways of solving them Use AI coding assistants such as Claude Code or equivalent as part of day-to-day development workflows to improve efficiency, quality, and delivery speed Optimize performance for latency, cost, accuracy, security and reliability Ensure all software that is created is in line with the technical roadmap, development guidelines and security standards. Troubleshoot, debug, and resolve technical issues across the product. Ensure code reviews and automated tests to support quality assurance Participate in all meeting arounds Refinement, Planning and Delivery. As a Lead: Lead the architecture and end-to-end development of AI solutions, from prototyping to production Collaborate with the Product team to identify candidate use cases for AI, helping them understand the art of the possible with today's AI capabilities and where it can deliver real business value. Work closely with IT Governance and Cyber Security teams to ensure AI solutions are secure by design and that data is handled responsibly, ethically, and in line with organisational policies. Define technical standards, best practices, and engineering roadmaps for AI initiatives Provide technical leadership and mentor developers Stay current with advancements in AI, evaluate emerging technologies, assess their applicability to the product, and help shape the organisation's AI journey Own quality, reliability, and performance of AI systems including monitoring, testing, and observability Conduct security and architectural reviews, and foster a culture of engineering excellence Communicate technical trade-offs and progress clearly to both technical and non-technical stakeholders Evaluate and select AI frameworks, LLM providers, vector databases, and cloud infrastructure Champion true AI Engineering across the team, leveraging AI tools to move faster without sacrificing code quality, security, or maintainability Basic Behaviours: Ensure that continuous improvement is baked into everything we do. Support the development of a strong culture focused on transparency, collaboration, and high performance Make time to support other members of the team and answer questions Take responsibility of your personal objectives and those of the team. Take ownership of deadlines and releases for yourself and the team. Any quality issues of the software the team owns should be looked on as a temporary and unacceptable state of affairs. Every opportunity should be taken to rectify problems, in conjunction with the completion of team and individual objectives. Professional / Academic / Qualifications 5+ years experience in a development role (essential) Degree level qualification (desirable) Specific Knowledge AI Hands on experience with Gen AI and LLM's Experience with RAG, Prompt engineering, Evaluation techniques AI infrastructure (vector stores, embeddings, model serving) AI agent frameworks and orchestration Understanding of embeddings, vector search Claude Code or equivalent Secure AI solution design Responsible AI principles Demonstrable AI engineering skills Agentic Tooling (desirable) Knowledge of Facilities Management domain (desirable) Background in domain-driven design, event-driven systems, or clean architecture (desirable) Software Engineering Typescript / Python / React / node js Microsoft .NET stack, SQL Server, NoSQL DB (eg Cosmos DB) REST API design and integration Design patterns and clean architecture GIT, Azure DevOps, CI/CD Pipelines, IaaC Demonstrated Behaviours Proactive, self-driven, and able to work independently or as part of a team Focused on outcomes rather than outputs Excellent verbal and written communication skills Pragmatic and flexible attitude Excellent interpersonal skills Attention to detail Mentoring/coaching skills

Business Analyst within AI needed. We are seeking a forward-thinking Business Analyst. You will not just document legacy requirements. You will design the logical guardrails, metrics, and workflows for autonomous AI agents. You will act as the vital bridge between complex enterprise processes and our AI engineering teams. Key Responsibilities 1. Workflow Orchestration & Deconstruction Deconstruct workflows: Break down complex human processes into structured agent instructions. Map state transitions: Outline the iterative "Observe, Think, Act" loops for AI agents. Define guardrails: Establish data requirements, exceptions, and human-in-the-loop checkpoints. 2. Pipeline & Value Management Qualify use cases: Evaluate enterprise bottlenecks to qualify agentic automation opportunities. Manage pipelines: Prioritize the high-value agentic AI transformation roadmap. Design validation metrics: Create framework tracking metrics to monitor agent performance. 3. Cross-Functional Collaboration Translate requirements: Turn business user needs into precise prompts, system specs, and tool-calling logics. Facilitate workshops: Lead discovery sessions with technical engineers and non-technical stakeholders. Required Skills & Experience Technical Knowledge Agentic Frameworks: Basic knowledge of orchestration ecosystems like LangChain, AutoGen, or CrewAI. LLM Foundations: Strong grasp of Large Language Models, prompt engineering, and semantic memory patterns. Tool-Use Integration: Clear understanding of function calling, data pipelines, and external API connectors. Business Analysis Expertise Agile Frameworks: Proven success working inside Agile or Scrum software development lifecycles. Process Mapping: Mastery of decomposition techniques, data rules, and hand-off mapping. Data Fluency: Ability to run analytical assessments and query data to validate agent integrity. Soft Skills Constructive Skepticism: Ability to challenge status-quo enterprise assumptions. Ambiguity Handling: Comfort with exploring fluid, evolving AI product definitions.

Agentic Platform Lead 6 months London Negotiable rate per day (Inside IR35) Scope of work : The consumption layer that determines how agents query and use the graph. RESPONSIBILITIES Defines tool-calling schemas, RAG pipelines, and context strategies. Builds hallucination guardrails and agent evaluation harnesses. Integrates the graph with enterprise agentic platforms. KEY SKILLS LLM integration RAG architecture Tool / function calling Cypher 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.

AI Developer (SC Cleared) £700-£800 per day Inside IR35 Hybrid (Canary Wharf, London - 1 day per week) Contract until September 2026 + potential extension Morgan Hunt are working in partnership with a leading UK government organisation to recruit an experienced AI Developer with active SC clearance.This is an exciting opportunity to play a key role in delivering cutting-edge AI solutions within a secure, high-impact environment-helping shape how AI is deployed across critical public services. The Role You'll be responsible for designing and delivering production-grade AI applications, working at the forefront of technologies such as Microsoft Copilot Studio, Azure AI Foundry and Azure OpenAI.Key responsibilities include: Designing, developing and deploying AI-enabled applications across cloud platforms Building and scaling Retrieval-Augmented Generation (RAG) pipelines and agentic AI systems using trusted data sources Creating, testing and refining prompts, workflows and AI configurations to maximise accuracy and performance Applying solid software engineering practices including API development, version control, CI/CD and automated testing Monitoring and optimising AI systems in production, ensuring performance, cost control, security and compliance Collaborating closely with Data Scientists to transition experimental models into robust, production-ready services Engaging stakeholders to identify and shape high-value AI use cases Ensuring all solutions align with Responsible AI principles, data protection and security standards Developing proof-of-concepts to support decision-making and future investment Experience Required Proven experience delivering AI-enabled solutions into production environments Strong software engineering background, particularly with Python and cloud technologies Experience working with large language models (LLMs) and AI-driven systems Track record of working within multidisciplinary agile teams Experience developing and advising on AI use cases and solution design Additional Details Day rate: £700-£800 (Inside IR35) Contract until end of September 2026, with likely extension Hybrid working - 1 day per week on-site in Canary Wharf Active SC clearance is essential (must have worked on a UK government project within the last 12 months) Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.

Principal Research Engineer Distributed Systems & Industrial AI Bristol (Hybrid) | Permanent An advanced technology and research organisation is seeking a Principal Research Engineer/Research Fellow to help shape next-generation distributed data-sharing and industrial AI solutions across sectors including energy, infrastructure and industrial systems. This role sits within a highly specialised R&D environment focused on applied research, intelligent systems and scalable data-sharing architectures. You'll work across emerging technologies including distributed AI, digital twins, cloud/edge systems and trusted AI frameworks. Role: You'll operate across: Applied R&D Distributed systems architecture Industrial AI Data-sharing infrastructure Technical strategy and innovation Responsibilities include: Developing proof-of-concepts and next-generation solutions Contributing to externally funded R&D programmes Collaborating with industry, academia and international engineering teams Supporting patents, publications and strategic technology initiatives Experience Needed: Experience across several of the following: Distributed systems/data-sharing platforms Industrial AI/edge AI Cloud & microservices architecture Python, Java & SQL PostgreSQL, MongoDB, Spark or similar tooling Knowledge graphs/semantic technologies RAG, agentic AI or generative AI concepts Candidates from industrial R&D, advanced engineering or applied AI environments would be particularly relevant. A PhD is preferred but strong commercial experience is equally valued. Why this role? Work on cutting-edge industrial AI and distributed systems challenges Highly collaborative research-driven environment Opportunity to influence real-world products and technology strategy Strong focus on innovation and emerging technologies Hybrid working with Bristol as the preferred base If you're interested in applied AI, distributed systems and advanced industrial research, this is a rare opportunity to join a genuinely forward-thinking environment.

AI Engineer Salary: Up to £85,000 + Bonus + Benefits Location: Hybrid - 3 days per week onsite in Central London Working Hours: Full time - Monday to Friday We are recruiting multiple AI Engineers to join a global organisation investing heavily in AI, automation and intelligent systems. Working within a highly skilled engineering team, the AI Engineer will design, build and deploy production grade AI solutions that solve real business challenges at scale. This AI Engineer role is a hands on engineering position suited to individuals who enjoy building end to end AI applications, working with large language models, agentic workflows and modern machine learning technologies. Responsibilities for the AI Engineer: Develop and deploy AI powered applications, services and APIs Build solutions using Generative AI, Agentic AI and machine learning techniques Design and optimise RAG pipelines, vector search solutions and AI workflows Integrate AI capabilities into existing platforms and business systems Collaborate with engineers, data specialists and business stakeholders to deliver high impact solutions Contribute to technical best practice and support continuous improvement across the AI function Essential Skills for the AI Engineer: Strong Python development experience Commercial experience with LLMs, prompt engineering and AI application development Experience with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI or similar Experience with RAG architectures, vector databases and semantic search Experience deploying AI solutions within cloud environments Understanding of MLOps, LLMOps and production AI systems Strong communication skills and the ability to work with technical and non technical stakeholders 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 Engineer, AI, Artificial Intelligence, Gen AI Developer

Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)