IT & Software

Software Engineering Manager-AI

Moody’s Corporation

London · Greater London · United Kingdom

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

Reference: WJ-747_30154405

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