Lead Agentic AI Architect

Job title: Lead Agentic AI Architect

Rate: 710 per day Inside ir35
Location: London, Birmingham, or Sheffield (Whichever is closest)

Hybrid (3 days per week on site)
Contract: 6-month rolling

On behalf of a leading digital transformation consultancy, we're seeking a Lead Agentic AI Architect to join a major enterprise AI transformation programme with a leading UK bank.

This is a genuinely senior opportunity to define the architecture, engineering standards and delivery of next-generation Agentic AI and Generative AI solutions within a complex, highly regulated environment. You'll operate at the intersection of AI strategy, enterprise architecture and hands-on engineering, taking ambitious AI initiatives from concept and roadmap through to secure, scalable production.

Responsibilities:

You'll take ownership of the architecture for enterprise AI capabilities, including:

• Agentic AI platforms, AI assistants, copilots and autonomous workflows
• Multi-agent systems incorporating reasoning, planning, memory, orchestration and tool integration
• Production-grade LLM and RAG architectures
• Intelligent search, knowledge assistants, workflow automation and decision-support systems
• Enterprise LLMOps, MLOps, observability and AI governance
• AI security, guardrails, evaluation and Responsible AI
• Cloud AI platforms and hybrid/multi-cloud architecture

You'll also provide technical leadership across architects, engineers and data scientists while working with senior stakeholders to shape AI strategy, roadmaps, investment priorities and transformation programmes.

Expereince Required:

We're looking for an established AI architecture or engineering leader with:

• 15+ years of software engineering, architecture or platform leadership
• 8+ years delivering AI/ML platforms into production
• Proven experience architecting and deploying Agentic AI, LLM and Generative AI solutions at enterprise scale
• Strong experience with RAG and LLM application architectures
• A background within banking, financial services or another highly regulated environment
• Experience leading large engineering teams and complex technology transformations
• A track record of taking AI platforms from strategy and architecture through to production and operationalisation
• Strong executive stakeholder engagement and the ability to translate AI capabilities into measurable business outcomes

Technology:

Agentic AI & GenAI
Multi-Agent Systems | Agentic AI Architecture | RAG | LLM Applications | Prompt Engineering | Responsible AI | AI Evaluation

Frameworks
LangChain | LangGraph | Semantic Kernel | AutoGen

Cloud & AI Platforms
Azure AI Foundry | Azure OpenAI | AWS Bedrock | SageMaker | Google Vertex AI | Hybrid/Multi-Cloud

Engineering & Platform
Python | Java | Scala | TypeScript | SQL | Kubernetes | Docker | Terraform | Bicep | CI/CD | Infrastructure as Code

AI Governance & Observability
LLMOps | MLOps | Model Governance | AI Security & Guardrails | LangSmith | Arize | Monitoring & Evaluation Frameworks

Qualifications

Relevant qualifications may include:

• Master's degree in Computer Science, AI, Data Science or related discipline
• AWS Solutions Architect Professional
• AWS AI/ML Specialty
• Microsoft Azure AI Engineer
• Google Professional ML Engineer
• Executive AI / Machine Learning qualifications

If you're an AI Architect, Lead AI Architect, Head of AI Engineering, AI Platform Lead, Director of AI Engineering or senior AI technology leader with genuine production-scale experience, please feel free to submit your CV.

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