Job Description:
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AI Architect
Location: London (Hybrid)
Contract Duration: 6 Months
Daily Rate: £680 per day
Clearance: Active SC Clearance Required
Role Overview
We are seeking a AI Architect to lead the design, governance, and delivery of enterprise-grade AI solutions built on frontier foundation models.
This is a high-impact, hybrid technical-leadership contract position. You will architect solutions that push what frontier models including LLMs, multi-modal systems, and agentic architectures can responsibly achieve within complex, highly regulated environments. You will lead a team of architects and engineers while serving as a trusted technical advisor to client CxOs.
Key Responsibilities
Architecture and Solution Design: Architect enterprise AI solutions using frontier models (Claude, GPT, Gemini family) across agentic automation, RAG, copilots, and multi-modal applications.
Pre-Sales and Discovery: Lead technical solutioning during pre-sales and discovery, translating client business challenges into scalable AI architectures and delivery roadmaps.
Platform Governance: Design and govern AI platform architecturescovering model orchestration, prompt/context management, retrieval pipelines, vector stores, and tool integration (including emerging protocols like MCP).
Responsible AI Frameworks: Define and enforce AI governance, risk, and safety frameworks (covering bias, data privacy, and model risk) aligned with regulatory requirements.
Team Leadership and Delivery: Mentoring and leading a team of AI engineers and architects, driving end-to-end delivery quality, technical governance boards, and production readiness.
Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI).
Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements.
Required Skills and Experience
Clearance: Active UK SC Clearance is essential.
Experience: 10+ years in software, data engineering, or solution architecture, with at least 3-5 years focused specifically on applied AI/ML or Generative AI.
Hands-on GenAI Depth: Proven experience architecting solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design.
LLMOps / MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale.
Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI).
AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g., EU AI Act, NIST AI RMF).
Consulting Leadership: Proven experience in client-facing consulting, pre-sales technical leadership, and managing CxO-level stakeholders.
Engineering Fundamentals: Strong software engineering background (API design, microservices, cloud-native architecture, data pipelines).
Preferred / Desirable Skills
Experience with agent orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI) and emerging tool protocols (e.g., Model Context Protocol / MCP).
Relevant certifications (e.g., Azure AI Engineer, AWS ML Specialty, Google Professional ML Engineer). xrnqpay
£650.00 - £680.00 / day
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AI Architect in London employer: Confidential
As a leading employer in the data centre operations sector, we offer an exceptional work environment that prioritises employee growth and development. Our collaborative culture fosters innovation and accountability, while our commitment to safety and operational excellence ensures that you will be part of a team that values your contributions. With opportunities for international travel and the chance to lead critical operations across the EMEA region, this role provides a unique platform for impactful leadership and career advancement.
