Artificial Intelligence AI Engineering Manager

gb Huxley (UK) Limited
London, UK
25 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
£90,000.0 - £115,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Microsoft Azure Cloud Computing Cloud Engineering Software Engineering Large Language Models Prompt Engineering AI Platforms Kubernetes Virtual Agents

Job description

  • Location: London or Glasgow, 1 or 2 days a week in the office with flexibility and home working hybrid
  • Reports to the Director of Artificial Intelligence AI
  • Salary; £90-115,000 base salary
  • 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
  • Agentic AI & Orchestration
  • AI Security, Safety & Governance
  • Cloud & Infrastructure Engineering
  • Leadership & Team Development
  • Stakeholder Engagement & Strategy

Requirements

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).
  • Experience with LLM application design: RAG, prompt engineering, orchestration frameworks.
  • AI & Emerging Technology Expertise- agent or autonomous AI systems., * Leadership & Delivery Experience - 5+ years in senior engineering roles, with experience leading technical teams.
  • AZURE expertise
  • AI & Emerging Technology Expertise- agent or autonomous AI systems.

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