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YBS UK_AI Product Developer

Remote / Online - Candidates ideally in
Leeds, West Yorkshire, ME17, England, UK
Listing for: Capgemini
Remote/Work from Home position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below

YBS AI Product Developer

We are seeking experienced YBS AI Product Developer with strong expertise in Bank and Finance domain who will oversee the planning, execution, and successful delivery of projects.

Hybrid working:

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role
  • To design build and ope rationalise Copilot based and LLM powered solutions focusing on secure engineering enterprise integration and reusable accelerators that reduce vendor dependency and increase internal delivery velocity
  • Design, develop and maintain Copilot solutions, intelligent agents, plugins, connectors and LLM workflows e.g. Copilot Studio
  • Build scalable components, prompt orchestration, retrieval layers, automation flows, model interfaces, validation pipelines
  • Integrate with enterprise systems, APIs, data platforms ensuring security, resilience and architecture alignment
  • Conduct rapid prototyping to validate feasibility, model behaviour, UX and performance
  • Implement secure-by-design and responsible AI practices, guardrails, controls, monitoring and auditability
  • Develop and optimise RAG components, embeddings, vector queries and metadata strategies for accuracy and reliability
  • Implement observability, logging, telemetry and LLM monitoring for quality and incident triage
  • Create reusable assets, prompt libraries, agent templates, connectors, test harnesses and documentation
  • Translate design artefacts into build‑ready specifications and aligned solution designs
  • Codefined test strategies and model performance thresholds with the AI Test Lead
  • Contribute to cross‑functional design, architecture reviews and standards evolution
  • Mentor colleagues and enable teams to adopt AI safely
  • Ensure responsible AI principles such as transparency, explainability and ISO
    42001 are incorporated into all development
  • Provide insight to support business cases, investment decisions, risk assessments and prioritisation discussions at AI governance forums
  • Collaborate with teams to ensure all AI development work is implementable, sustainable and aligned to enterprise architecture
  • Maintain a library of development artefacts, patterns and reusable assets to support repeatability and uplift maturity across the AI Foundry
  • Managing escalations and supporting the wider Data AI Leadership team
Shared Accountabilities
  • Translate Divisional priorities into plans and deliverables to deliver overall Group strategic priorities
  • Build the capability and capacity of functional resources to drive sustained commercial success
  • Interpret and communicate priorities for the Function, motivating and developing a high‑performing team
  • Own functional priorities applying specialist expertise to put the customer at the heart of everything and drive a profitable business
  • Initiate and develop critical external and internal relationships which create value and collaborate to deliver commercial and customer priorities
  • Role model YBS Values, champion diversity and challenge behaviour contrary to the Values
  • Identify, define and oversee management of risks associated with delivery across YBS
We are a Disability Confident Employer

Capgemini is proud to be a Disability Confident Employer (Level
2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

  • Declare they have a disability
  • Meet the minimum essential criteria for the role.

Please opt in during the application process.

Make It Real (what does it mean for you)
  • You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce as a critical component for us to achieve our organisational ambitions.
  • You will be empowered to explore, innovate and progress. You will benefit from Capgemini's learning for life mindset, meaning you will have countless training and development opportunities from think tanks to hackathons, and access to 250,000 courses with…
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