AI Product Developer (AI Foundry) 3 Days Work from Office Leeds or Bradford

Purpose of the role:   To design build and operationalise Copilotbased and LLMpowered solutions focusing on secure engineering enterprise integration and reusable accelerators that reduce vendor dependency and increase internal delivery velocity.

Key Accountabilities

Role Specific Accountabilities

• 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 securebydesign and responsible AI practices (guardrails controls monitoring auditability).
• Develop/optimise RAG components embeddings vector queries and metadata strategies for accuracy/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 buildready specifications and aligned solution designs.
• Codefine test strategies and model performance thresholds with the AI Test Lead.
• Contribute to crossfunctional design/architecture reviews and standards evolution.
• Mentor colleagues and enable pro/low/nocode teams to adopt AI safely.
• Ensure responsible AI principles (e.g. transparency explainability ISO42001) 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 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 & capacity of functional resources to drive sustained commercial success
• Interpret & communicate the 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 collaborating to deliver commercial and customer priorities
• Uphold corporate legal & regulatory responsibilities
• Implement and manage transformation activity & harness innovation to create a high performing & sustainable business

Qualifications :

Functional/Technical (Role Specific)

Essential

• Higher education qualification (or equivalent experience) in Ethics Law Risk Management Social Sciences Data/Computer Science or relevant field
• Proven handson experience building solutions using LLMs AI APIs Copilot Studio or agent frameworks.
• Strong understanding of vector databases embeddings RAG architectures and retrieval optimisation.
• Experience implementing securebydesign practices including authentication authorisation data protection and auditability.
• Experience working within Microsoft Foundrystyle model and agent engineering including LLM orchestration RAG component optimisation agent lifecycle management versioning monitoring drift detection and building reusable model/agent components governed under enterprise controls.
• Experience working with Microsoft Azure AI and cloud-native engineering including integration with Azure AI services secure deployment patterns observability telemetry vector search and embeddings and alignment with enterprise-grade cloud architectures used across the AI Foundry.
• Familiarity with DevOps CI/CD IaC observability monitoring and modern engineering pipelines.
• Ability to translate complex requirements or user needs into scalable maintainable technical solutions.
• Ability to debug unexpected AI or model behaviour including hallucinations variability and reliability issues.
• Strong documentation skills and ability to produce reusable code assets templates and guidance.
• Collaborative working style with analysts testers and architects throughout delivery.
• Comfortable learning and adapting to emerging AI technologies and engineering patterns.
• Excellent stakeholder management and communication skills including seniorlevel engagement.
• Commercial awareness and a valuedriven mindset.
• Familiarity with AI ethics fairness transparency and accountability principles
• Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise

Additional Information :

Sector (desirable)

• Understanding of financial services industry markets and competitors
• Understanding of how financial services organisations operate and the associated regulatory environment or other regulated industries
• Awareness of the Mutual Sector and the needs and interests of Members

Remote Work :

No

Employment Type :

Full-time