Manager Software Engineering – AI Engineering Excellence

Overview

Lead AI engineering transformation as an Engineering Manager, building high-performing teams and driving enterprise adoption of AI-native software engineering practices.

What you'll do

• Define and execute an AI engineering adoption strategy across software teams.
• Establish AI-first practices across the SDLC, from requirements to operations and support.
• Implement governance frameworks for responsible, secure, and compliant AI-generated code.
• Lead people management activities including mentoring, coaching, hiring, onboarding, and performance management.
• Provide technical leadership through architecture, design, and code reviews.
• Own delivery of complex software initiatives and improve delivery velocity and reliability.

What you'll need

• 10+ years of software engineering experience delivering enterprise-scale solutions.
• 5+ years of engineering leadership experience with direct people management.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.
• Hands-on experience with AI-assisted development platforms such as GitHub Copilot or Microsoft Copilot.
• Strong understanding of generative AI, LLMs, RAG architectures, agentic workflows, MCP servers, and prompt engineering.
• Experience with defining standards and governance models for AI-assisted development.
• Core software engineering background in Java, Python, microservices, APIs, distributed systems, and cloud-native architectures.

Details

• Work mode includes Hybrid (as indicated by #LI-Hybrid).