Agentic AI Architect

Project overview

Agentic AI Architect

Whitehall Resources currently require an experienced Agentic AI Architect to work with a key client.

Please note this role falls INSIDE IR35

Key Responsibilities

Technical Skills

Agentic AI & GenAI

Cloud & AI Platforms

Engineering & Platform

AI Governance & Observability

All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the job description.

Whitehall Resources are an equal opportunities employer who value a diverse and inclusive working environment. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, pregnancy, disability, age, veteran status, or other characteristics.

• 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.
• 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
• Azure AI Foundry / Azure OpenAI
• AWS Bedrock & SageMaker
• Google Vertex AI
• Hybrid and Multi-Cloud Architectures
• Python, Java, Scala, TypeScript, SQL
• Kubernetes, Docker
• Terraform, Bicep
• CI/CD and Infrastructure as Code
• GitHub Actions, GitLab, Jenkins
• LLMOps & MLOps
• Model Governance
• AI Security & Guardrails
• LangSmith
• Arize
• Monitoring & Evaluation Frameworks

Project details

• Start: flexible
• Location: Hybrid-remote in London, GB