Reed

AI Architect

Vermillion Analytics
London, UK
£400 – £400
about 16 hours ago
remote

Skills & Technologies

PythonFastAPIMLOpsAWSAzureKubernetesTerraformCI/CDOpenTelemetryPyTorchDatabricksMLflowLLMGenerative AIGenAIRAGLangChainOpenAIFine-tuningNIST

Job Description

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

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

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