Artificial Intelligence AI Engineering Manager
Quick Overview
Job Description
Artificial Intelligence AI Engineering Manager This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to join a thriving STEM business as they invest in their Artificial Intelligence AI Engineering team Role details Title: Artificial Intelligence AI Engineering Manager<br />Team:
Core AI / Applied AI Platforms<br />Location: London or Glasgow, 1 or 2 days a week in the office with flexibility and home working hybrid<br />Reports to the Director of Artificial Intelligence AI<br />Salary; £(phone number removed) base salary<br />Technical stack:
AI & Emerging Technology Expertise- agent or autonomous AI systems., LLM, Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services).
This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to lead the design, delivery, and scale of enterprise-grade AI engineering strategy and capabilities, with a focus on agentic AI systems, cloud-native architectures, and responsible AI deployment.
This role operates as a player-coach, combining hands-on engineering leadership with team management. The AI Engineering Manager is accountable for building high-performing teams, delivering production AI solutions, and embedding security, governance, and reliability into all AI workloads.
This role will include:- AI Platform Engineering & Delivery<br />Agentic AI & Orchestration<br />AI Security, Safety & Governance<br />Cloud & Infrastructure Engineering<br />Leadership & Team Development<br />Stakeholder Engagement & Strategy To be successful in this role, we need someone who can combine technical Artificial Intelligence AI engineering skills, and team leadership/ team management experience Core Technical Competencies Strong hands-on experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services).<br />Experience with LLM application design:
RAG, prompt engineering, orchestration frameworks.<br />AI & Emerging Technology Expertise- agent or autonomous AI systems.
Requirements Leadership & Delivery Experience - 5+ years in senior engineering roles, with experience leading technical teams.<br />AZURE expertise<br />AI & Emerging Technology Expertise- agent or autonomous AI systems.
For more information, and the chance to be considered, please do send through a CV through to k.roe at Huxley Many thanks To find out more about Huxley, please visit Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales
Skills
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