Lead Agentic AI Architect

CBSbutler Holdings Limited trading as CBSbutler

City Of London

Hybrid

GBP 157,000 - 212,000

Full time

14 days+

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Job summary

CBSbutler is seeking a Lead Agentic AI Architect to define architecture, engineering standards and delivery of next-generation Agentic and Generative AI solutions for a major UK bank. The role blends AI strategy with hands-on engineering in a highly regulated setting.

You will lead a team of architects, engineers and data scientists, shape roadmaps, governance, and investment priorities, and ensure secure, scalable production of enterprise AI platforms across hybrid cloud.

Qualifications

  • 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.

Responsibilities

  • Take ownership of the architecture for enterprise AI capabilities, including agentic AI platforms, AI assistants, copilots and autonomous workflows.
  • Develop multi-agent systems with reasoning, planning, memory, orchestration and tool integration.
  • Lead production-grade LLM and RAG architectures and responsible AI governance.
  • Shape enterprise AI strategy, roadmaps and investment priorities with senior stakeholders.
  • Ensure cloud AI platforms and hybrid/multi-cloud architectures support secure, scalable production.

Skills

AI architecture leadership
AI/ML production deployment
Enterprise-scale AI
RAG/LLM architectures
Executive stakeholder engagement
Leading engineering teams

Education

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

Tools

LangChain
LangGraph
Semantic Kernel
AutoGen
Azure OpenAI
AWS Bedrock
SageMaker
Google Vertex AI
Kubernetes
Docker
Terraform
CI/CD

Job description

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
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