AI Delivery Manager

Responsibilities

• Run delivery with the right level of AI for each project: AI-assisted, AI-augmented or a full AI SDLC with agents working across the lifecycle under human oversight
• Build automation into the AI SDLC: quality gates, guardrails, dependency tracking and release orchestration
• Manage AI economics: model selection, token budgets and AI spend
• Lead the change as teams adopt agentic ways of working, and make the new practices stick
• Mentor engineers and managers in AI ways of working, and get hands-on where it helps the team
• Measure productivity and quality against a baseline, and plan capacity for teams of people and AI agents
• Help clients shape their AI delivery roadmap and get measurable value from it

Languages

Required

• Good knowledge of AI SDLC approaches and tooling A grasp of AI cost drivers (models, tokens, infrastructure) and how to manage them Change management experience: leading teams through new ways of working
• Good knowledge of CI/CD, DevOps practices and cloud platforms

Nice to have

• Good knowledge of CI/CD, DevOps practices and cloud platforms A data-driven approach and a strong focus on business outcomes Curiosity and a habit of experimenting with new AI tools and approaches Upper-intermediate English (B2+) or higher

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