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.