AI Architect

TALENT INTERNATIONAL UK LTD; High Wycombe; Hybrid; GBP 109,000 - 142,000; Full time

Job summary

TALENT INTERNATIONAL UK LTD is seeking an AI Architect to lead design, governance, and delivery of enterprise-grade AI solutions built on frontier foundation models.

This high-impact hybrid contract in London spans 6 months with a daily rate of £680. You will architect solutions, mentor engineers, and advise client CxOs across major ecosystems such as Azure OpenAI, AWS Bedrock, and Google Vertex AI, while ensuring governance and responsible AI practices.

Qualifications

• 10+ years in software, data engineering, or solution architecture with AI focus.
• Hands-on experience with frontier models and GenAI capabilities.

Responsibilities

• Architect enterprise AI solutions using frontier models across agentic automation, RAG, copilots, and multi-modal apps.
• Lead technical solutioning during pre-sales and discovery with scalable AI architectures.
• Design and govern AI platform architectures including model orchestration and prompt management.
• Define and enforce Responsible AI, risk, and regulatory frameworks.

Skills

Leadership

GenAI depth

LLMOps

Cloud ecosystems

Regulatory governance

Tools

LangGraph

AutoGen

CrewAI

MCP

Job description

We are seeking aAI Architect to lead the design, governance, and delivery of enterprise-grade AI solutions built on frontier foundation models.

Job Description

AI Architect

Location: London (Hybrid)

Contract Duration: 6 Months

Daily Rate: £680 per day

Clearance: Active SC Clearance Required

Role Overview

We are seeking aAI 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).

£650.00 - £680.00 / day