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
