Manager, AI Engineering – AI & Business Tech Engineering

Responsibilities

• Lead, mentor, and grow a distributed team of AI engineers

• Act as a player‑coach: review architecture and contribute to design

• Shape and execute the technical roadmap for the AI Engineering team

• Design and deliver agentic systems end to end

• Build and evolve our internal AI platform

• Partner with leaders from Finance & Supply Chain Systems

• Collaborate closely with peer leaders in Enterprise Architecture

• Champion modern AI engineering practices

• Develop OKRs for the team and report progress

• Recruit world‑class AI engineering talent

• Contribute to AI & Business Technology Engineering leadership team planning

Requirements

• Significant experience as a software engineering manager

• Hands‑on engineering depth in modern AI/ML systems

• Practical experience building or operating agentic systems

• Experience designing internal developer platforms or productivity tooling

• A clear point of view on AI governance and safety

• Strong software engineering fundamentals in at least one production language

• Excellent written and verbal communication skills

• Experience hiring and retaining strong AI engineering talent

• Comfort working in a hybrid environment

Hard Skills

• AI engineering

• ML systems

• agentic systems

• software engineering

• developer platforms

• productivity tooling

• AI governance

• AI safety

• programming languages

Soft Skills

• leadership

• mentoring

• communication

• collaboration

• team building

• strategic planning

• recruitment

• reporting

• adaptability

Industry Keywords

• AI engineering practices

• software engineering manager

• hybrid environment

Tools & Technologies

• AI platform

• Finance systems

• Supply Chain systems

• Enterprise Architecture