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London, United Kingdom
Last month
£80,000 – £100,000 pa
Applications closed

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Salary

£80,000 – £100,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Senior
Education
Degree
Visa Sponsorship
Available
Posted
13 Jul 2026 (Last month)

Benefits

Hybrid working Career development in AI strategy Cross-functional stakeholder engagement

AI Architect - London (Hybrid) - c£120K

A leading international organisation is looking to appoint an AI Architect to drive the adoption, governance and delivery of enterprise AI solutions across the business.

This is an exciting opportunity to play a pivotal role in shaping AI strategy, working across Microsoft Copilot, Snowflake and Salesforce technologies to identify high-value use cases, design scalable AI solutions and support business-wide adoption. You'll work closely with senior stakeholders across Digital, Data and IT, helping transform innovative AI ideas into secure, production-ready solutions that deliver measurable business value.

Key Responsibilities

  • Design, build and deploy enterprise AI solutions using Microsoft Copilot Studio, Microsoft 365 Copilot, Snowflake Cortex AI and Salesforce Agentforce
  • Define and maintain enterprise AI architecture, ensuring platforms integrate effectively and align with business objectives
  • Develop reusable AI components, prompt libraries and solution templates to accelerate future delivery
  • Evaluate emerging AI technologies and provide technical recommendations to senior stakeholders
  • Establish AI governance, architecture standards and best practices, ensuring compliance with security and data privacy requirements

Skills & Experience

  • Commercial experience designing and delivering enterprise AI or digital transformation solutions
  • Hands-on experience with Microsoft Copilot Studio, Microsoft 365 Copilot, Snowflake Cortex AI, Salesforce Agentforce or similar AI platforms
  • Strong understanding of Large Language Models (LLMs), AI Agents, Prompt Engineering, Retrieval-Augmented Generation (RAG) and enterprise AI governance
  • Experience translating business requirements into scalable AI solutions from discovery through to production
  • Knowledge of AI architecture, solution design and platform governance within enterprise environments
  • Experience working with cross-functional stakeholders, including senior leadership and business users

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What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.