Senior Enterprise Architect (AI Focused) in London

We are seeking a Senior Enterprise Architect (AI‑Focused) to lead our enterprise AI strategy and drive the design of scalable, cloud‑native AI solutions. This role will focus on agentic AI, multi‑agent systems, RAG architectures, and enterprise AI integration aligned to business goals.

You will establish best practices for AI architecture, orchestration, governance, and responsible AI, while partnering with cross‑functional teams to deliver secure, production‑grade solutions across the organisation. We understand the need to provide a flexible working environment partnered with team collaboration and socialisation. Therefore, we operate a hybrid working model with 3 days of working from home per week. This role is based in the London office. We are also open to candidates that are UK remote.

• Define and lead the enterprise AI architecture strategy, aligning agentic AI capabilities with business goals.
• Design and govern scalable AI architectures, including multi-agent systems, data pipelines, and model lifecycle management.
• Drive adoption of agentic AI frameworks and establish best practices for orchestration, tool usage, and system integration.
• Architect and oversee RAG based solutions, ensuring effective retrieval pipelines, embedding strategies, and knowledge integration.
• Lead integration of AI solutions across enterprise platforms, APIs, and third‑party services.
• Establish standards for prompt engineering, multi‑step orchestration, and agent behaviour design.
• Ensure robust governance, including security, compliance, auditability, and responsible AI practices.
• Collaborate with engineering, data, and business teams to deliver production grade AI systems.
• Provide technical leadership across cloud native AI platforms, particularly within Azure ecosystems.
• Mentor teams on AI architecture patterns, emerging technologies, and implementation strategies.

• Core AI Architecture: Experience designing AI solutions using agentic AI patterns, orchestration frameworks, and large language models.
• Data, Retrieval & Integration: Strong understanding of data architecture, vector search, retrieval‑augmented generation, APIs, and enterprise system integration.
• Cloud & Platform Architecture: Hands‑on experience with Azure AI services, cloud‑native architecture, and deploying secure, scalable AI platforms in production.
• Governance, Security & Delivery: Proven ability to define architecture standards covering security, compliance, responsible AI, observability, and production delivery.
• Technical Leadership: Ability to guide engineering teams on solution design, implementation patterns, and technology choices for enterprise AI adoption.

• C# API development.
• DevOps CI/CD pipelines (Azure DevOps or GitHub Actions).
• Docker Infrastructure as Code (Terraform or Bicep).
• Frontend Integration: Angular or React for agent‑facing UIs or dashboards.
• MCP (Model Context Protocol): Tool integration with agents.
• MCP Apps (formerly MCP‑UI) for interactive UI components.
• Observability & Evaluation: LangSmith or similar tracing/evaluation tools.
• Streaming & Real‑Time Responses: SSE, WebSockets.
• Testing Non‑Deterministic AI Outputs: Evaluation strategies, golden datasets, regression testing.
• Cost Management & Token Budgeting: Token usage, model trade‑offs, caching strategies.
• Multi‑Agent Orchestration: Designing collaborative agent systems with delegation and handoffs.
• Fine‑Tuning / Model Customisation: Adapting models for domain‑specific use cases.
• Authentication & Identity: OAuth, managed identities.
• Logging & Audit Trails: Compliance and traceability for agent decisions/actions.
• Additional LLM Providers: Experience beyond Azure OpenAI (e.g., Anthropic, open‑source via Ollama/vLLM).
• Graph Databases: Neo4j or similar for knowledge graph‑backed agents.
• Message Queues / Event‑Driven Architecture: Azure Service Bus.
• Security & Guardrails: Content filtering, prompt injection mitigation, PII handling.
• API Design: REST / GraphQL for exposing agent capabilities.

• Join our employee‑led groups to maximise your experience at work such as our Diversity, Equity and Inclusion committee, employee resource groups such as Women and Allies, and our Pride Event Group.
• Enjoy peace of mind over yours and your family’s health with our Private Medical Insurance and Health Cash Plan.
• Invest in our competitive Personal Pension plan and help set you up for your future.
• Big on family? So are we! We understand family is important and being able to spend quality time with your family as it grows is a wonderful experience. Our Parental Leave Program is designed to give you the opportunity to spend even more time with your new arrival(s).
• Enjoy a fantastic work‑life balance with 25 days of annual leave plus Bank Holidays, and finish early 6 times a year with our ‘Flexi’ scheme.
• Income Protection Plans give you the peace of mind you deserve.
• Further your professional development and growth with our generous Tuition Reimbursement Schemes.
• Enjoy the flexibility of working from anywhere in the world for two weeks out of the year!

MRI is proud to be an inclusive employer. We welcome and celebrate diversity across all backgrounds, including ethnicity, religion, sexual orientation, gender identity, disability, age, military, veteran status and more. We believe that Belonging is a direct result of Diversity, Equity, and Inclusion. Those values are woven into the fabric of who we are and are foundational to our continued success.