Artificial Intelligence AI Engineering Manager
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Role details
Tech stack
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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