AI Architect - #2088516

AI Architect | Contract | 6 Months | £400/day | Outside IR35 | Remote (UK Based)

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The Opportunity

A leading enterprise AI services firm is looking for a hands-on AI Architect to define and deliver next-generation GenAI and agentic AI platforms across a global client base. You'll own end-to-end architecture across Azure AI Foundry, Databricks, and AWS — from discovery through production — and act as a trusted technical voice in pre-sales, CXO conversations, and partner co-innovation.

Rate: £400/day Duration: 6 months IR35: Outside Location: Remote (UK based candidates only)

What You'll Be Doing

• Designing reference architectures and platform standards for repeatable, scalable client delivery
• Architecting production-grade GenAI platforms on Azure AI Foundry — RAG, copilots, and multi-agent systems
• Building Lakehouse-based AI platforms using Databricks, Mosaic AI, MLflow 3.0, and Unity Catalog
• Designing multi-agent systems with LangGraph, CrewAI, AutoGen, Semantic Kernel, and Bedrock Agents
• Defining enterprise standards for MCP servers, A2A communication, and agent-to-system interoperability
• Owning Responsible AI guardrails aligned to NIST AI RMF, EU AI Act, and ISO/IEC 42001
• Mentoring architects and engineers, leading design authority forums and architecture reviews

Core Tech Stack

Azure AI Foundry · Azure OpenAI · Databricks · Mosaic AI · MLflow 3.0 · Amazon Bedrock · LangGraph · LangChain · Semantic Kernel · Microsoft Fabric · Unity Catalog · Python · Terraform · Kubernetes · OpenTelemetry

What We're Looking For

• 5+ years in software, data, and AI/ML with at least 4–5 years as a hands-on architect delivering production AI systems
• Proven delivery across at least two of: Azure AI Foundry, Databricks, AWS (all three ideal)
• Deep expertise in GenAI, agentic AI, RAG patterns, LLM fine-tuning, and vector databases
• Strong Python foundations — PyTorch, Transformers, FastAPI, LangChain/LangGraph
• Experience with MLOps, CI/CD, IaC, and container orchestration at enterprise scale
• Confident communicator — able to engage CXOs and engineering teams with equal credibility
• UK based and eligible to work in the UK

Nice to Have

• Databricks certifications (Generative AI Engineer, Data Engineer Professional, ML Professional)
• AWS certifications (Solutions Architect Pro, ML Specialty, AI Practitioner)
• Exposure to regulated industries — BFSI, Healthcare, Pharma, Telecom
• Experience with knowledge graphs, multimodal AI, or open-source contributions in AI/ML

Interested? Send your CV