AI Product Developer (AI Foundry)

AI Product Developer: • Mandatory Requirement: Hands-on experience with Copilot. • Ideally, candidates should have a strong background in Data Engineering or broader Engineering disciplines. Customer is adopting a "Microsoft First" approach for their AI Center of Excellence (CoE). It is essential that all candidates demonstrate solid, hands-on experience within the Microsoft ecosystem, specifically: • Building and integrating agents within Copilot Studio. • Leveraging PowerApps, Dataverse, Fabric, and Azure. • Utilizing Foundry environments. • Practical experience integrating agents, APIs, and associated components within these specific platforms. Role description: We are looking for an experienced AI Product Developer (AI Foundry) To design, build and operationalize Copilot‑based and LLM‑powered solutions, focusing on secure engineering, enterprise integration and reusable accelerators that reduce vendor dependency and increase internal delivery velocity. 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 secure‑by‑design 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 build‑ready specifications and aligned solution designs. • Co‑define 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 pro‑/low‑/no‑code 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 re‑usable 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 • Role model YBS Values, champion diversity and challenge behavior contrary to the Values • Identify, define & oversee management of risks associated with delivery across YBS • Uphold corporate legal & regulatory responsibilities. Implement and manage transformation activity & harness innovation to create a high performing & sustainable business. Key skills/knowledge/experience: 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 hands‑on 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 secure‑by‑design practices including authentication, authorisation, data protection and auditability. • Experience working within Microsoft Foundry‑style 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 senior‑level engagement. • Commercial awareness and a value‑driven 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. 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. Commercial • Ability to work with autonomy and make operational decisions • Experience of delivering organisational change • Understanding of related functions and/or services outside of the role’s direct remit. • Experience of managing a set of internal and external stakeholder relationships Interpersonal • Good interpersonal skills and ability to build and maintain strong working relationships • Ability to work effectively in diverse teams • A problem-solving approach with curiosity and proactivity to engage and understand both the strategic business goals and our customer’s needs • Ability to identify areas of improvement and create innovative approaches to delivering better quality service. • Experience working in cross-functional teams and agile environments • Ability to identify, nurture and realise the potential in others • Strong communication, engagement and influencing skills Ability to effectively represent YBS through building collaborative relationships.