Software Engineering Manager-AI

Overview

In this role, you lead and mentor software engineers while driving AI-powered platform initiatives that transform risk assessment. You will embed in strategic projects, raise the technical bar across squads, and deliver hands-on, production-grade software. You’ll shape architecture for AI services and agent ecosystems, balancing technical excellence with people leadership. This role combines strategic influence with hands-on delivery to enable Moody’s to scale responsible AI and innovation.

Responsibilities

• Embed in high-priority projects for 4–6 months, guiding architectural decisions across AI-powered services and agent frameworks
• Coach and manage several engineers across squads, partnering with product managers and tech leads
• Stay hands-on—review code, ship production-grade changes, and run incidents when needed
• Challenge technical decisions and drive solutions that handle complexity beyond simple reviews
• Invest in engineers’ growth through one-on-ones, feedback, and career development conversations
• Drive cross-team alignment and adoption of engineering best practices, including reliability and operational rigor
• Build trust with stakeholders via clear communication, surfacing risks early, and guiding technical direction

Key requirements

• 3+ years leading or managing software engineers, with influence-based leadership
• Strong backend or platform engineering background, hands-on at Tech Lead level
• Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production
• Experience operating production distributed systems on AWS/Azure, with reliability, observability, and incident response at scale
• Excellent communication skills to translate technical topics for engineers and executives
• Strong ownership, humility, and perspective on humans and AI agents working together
• Deep expertise in artificial intelligence with a track record of implementing advanced AI solutions and responsible AI governance

• communication
• ownership
• humility
• AI/ML production experience (RAG, agent frameworks, MCPs, skills, harnesses)
• LLM or MCP gateway, agentic runtime, authentication, data retrieval, eval tooling
• Distributed systems on AWS/Azure; reliability and observability

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