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Essential skills/knowledge/experience:
- 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
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Desirable skills/knowledge/experience:
- 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
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Skills
LLMs
AI APIs
Copilot Studio
Vector Databases
RAG Architectures
Azure AI
Microsoft Foundry
CI/CD
DevOps
Infrastructure as Code
AI Ethics
Stakeholder Management
Prompt Engineering
Model Monitoring
Secure-by-Design
LLM Orchestration
Location