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AI Architect

Posted: 02/06/26
Recruiter:Europa Search
Reference:3117002736
Type:Contract
Disciplines: System Architect
Salary:£550 - £600 Annual
Location:London
Description:

AI Architect

I'm currently working with a leading consulting client as they are seeking an AI Architect for a project related collaboration.

Initial contract length: 12 months

Working Model: Hybrid (2-3 days per week)

Rate: 550-600

About the Role

  • Hands-on senior IC role designing, building, and productionising enterprise-grade multi-agent AI systems at scale
  • Operates across the full agentic stack - orchestration, model management, RAG, observability, and evaluation

Key Responsibilities

  • Architect production-grade multi-agent workflows using frameworks such as LangGraph, CrewAI, AutoGen etc.
  • Design and implement agent orchestration patterns - intent detection, dynamic agent routing, conversation state management, and hierarchical multi-agent topologies
  • Build and govern MCP (Model Context Protocol) Servers exposing enterprise tools, internal systems, APIs, and data sources as structured, auditable agent tool surfaces. Knowledge of A2A is an advantage.
  • Develop against and configure AI Gateway platforms (LiteLLM, AWS Bedrock, Azure API Management, Apigee AI Extensions) for multi-model routing, cost controls, quota enforcement, and model fallback
  • Integrate Responsible AI guardrails - PII masking, content moderation, toxicity filtering, and policy enforcement - across the model invocation layer
  • Own RAG pipeline design and optimisation - chunking strategy, embedding model selection, hybrid retrieval, reranking, hallucination mitigation etc.
  • Build and maintain LLM evaluation frameworks - golden test sets, regression suites, LLM-as-a-judge, online A/B and shadow evals, red-teaming for prompt injection, jailbreaks, and adversarial inputs
  • Own and build LLM observability using platforms such as Langfuse, etc.
  • Contribute to CI/CD pipelines for agent systems - containerised deployments, automated behavioural testing, feature flag management, and progressive rollout patterns
  • Apply security-first engineering aligned with Agent Development Lifecycle (ADLC) principles - agent identity, least-privilege tool access, sandboxed execution, and full audit traceability etc.

Recruiting now