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AI Architect Hybrid - cGBP

Job in London, Greater London, W1B, England, UK
Listing for: Nigel Frank
Full Time position
Listed on 2026-07-15
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), M365, SharePoint & Power Platform, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 120000 GBP Yearly GBP 120000.00 YEAR
Job Description & How to Apply Below
Position: AI Architect Hybrid) - cGBP100K

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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