Experis UK
Lead Agentic AI Architect
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Lead Agentic AI Architect
Inside IR35 Rate: £700.00 - £730.00 pd
Location: London (Hybrid)
Role Summary
We are seeking a highly experienced Lead Agentic AI Architect to lead the design, architecture, and delivery of enterprise-scale Agentic AI and Generative AI solutions. The successful candidate will define AI architecture standards, drive innovation, and build intelligent autonomous systems that deliver measurable business outcomes across complex and regulated environments. This is a strategic and hands-on leadership role requiring deep expertise in LLMs, Agentic AI, RAG architectures, AI governance, cloud platforms, and large-scale engineering delivery.
Key Responsibilities
- Define and own the enterprise architecture for Agentic AI platforms, AI assistants, copilots, and autonomous workflows.
- Design and implement multi-agent systems leveraging reasoning, planning, memory, orchestration, and tool integration.
- Architect production-grade GenAI solutions including RAG, intelligent search, knowledge assistants, workflow automation, and decision-support systems.
- Establish AI engineering standards covering LLMOps, MLOps, platform governance, observability, security, and responsible AI.
- Lead technology selection across LLMs, orchestration frameworks, vector databases, and cloud AI platforms.
- Drive enterprise adoption of AI while ensuring scalability, security, compliance, and commercial viability.
- Provide technical leadership to architects, engineers, data scientists, and senior business stakeholders.
- Partner with executive leadership to define AI strategy, roadmaps, investment priorities, and innovation opportunities.
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Required Experience
- 15+ years of software engineering, architecture, and platform leadership experience.
- 8+ years delivering AI/ML platforms in production environments.
- Proven experience architecting and deploying Agentic AI, LLM, and Generative AI solutions at scale.
- Strong background in Financial Services, Banking, Insurance, Healthcare, or other regulated industries.
- Demonstrated experience leading large engineering teams and complex transformation programmes.
- Track record of delivering enterprise AI platforms from strategy through implementation and operationalisation.
Technical Skills
- Agentic AI & GenAI
- Multi-Agent Systems
- Agentic AI Architecture
- Retrieval Augmented Generation (RAG)
- LLM Application Design
- 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 and Multi-Cloud Architectures
- Engineering & Platform
- Python, Java, Scala, TypeScript, SQL
- Kubernetes, Docker
- Terraform, Bicep
- CI/CD and Infrastructure as Code
- GitHub Actions, GitLab, Jenkins
- AI Governance & Observability
- LLMOps & MLOps
- Model Governance
- AI Security & Guardrails
- LangSmith
- Arize
- Monitoring & Evaluation Frameworks
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Preferred Qualifications
- Master's degree in Computer Science, AI, Data Science, or related discipline.
- AWS Solutions Architect Professional.
- Microsoft Azure AI Engineer.
- Google Professional ML Engineer.
- Executive AI qualifications from leading institutions.
Ideal Candidate
A senior AI leader who combines deep technical expertise with strong business acumen, capable of architecting enterprise-scale Agentic AI platforms, influencing executive stakeholders, and delivering secure, scalable, and production-ready AI solutions within highly regulated environments.
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