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.

We 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.

Key Responsibilities

• 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.

Qualifications

• Agentic AI Frameworks: LangChain, LangGraph, Microsoft Agent Framework (formerly AutoGen / Semantic Kernel), CrewAI.
• Databases: SQL databases (ideally PostgreSQL) for configuration & operational data; NoSQL vector databases (ideally Azure Cosmos DB) for embeddings & retrieval.
• Azure Platform: Azure AI Foundry (agent building & orchestration), Azure OpenAI Service, Azure AI Services, App Service.
• AI Techniques: RAG architectures (chunking strategies, embedding models, retrieval pipelines), Data agents with Power BI integration, Python.
• Agent development, ML techniques, APIs, Prompt Engineering, System prompt design, Tool/function calling patterns, Multi-step orchestration, API Integration.
• 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.

Benefits

• Employee-led groups such as Diversity, Equity and Inclusion committee, employee resource groups (Women and Allies), and Pride Event Group.
• Private Medical Insurance and Health Cash Plan.
• Competitive Personal Pension plan.
• Parental Leave Program.
• 25 days of annual leave plus.