Location
London

Hours
Full Time

Salary
Negotiable

About the Role
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities by fostering an inclusive environment where everyone feels welcome to be themselves, exchange ideas, think innovatively, and listen meaningfully to each other and our customers. Moody’s is transforming how the world sees risk through advanced AI technologies that move from insight to action, enabling intelligence that understands complexity and responds effectively. As a Software Engineering Manager in the AI Strategy and Innovation team, you will serve as a player-coach engineering leader embedded across high-priority projects, raising the technical bar across multiple squads and developing engineers through credibility, influence, and hands-on delivery. You will guide architectural decisions on AI-powered services, agent frameworks, and the Agentic software development lifecycle while coaching and managing engineers, partnering closely with product managers and tech leads. Staying hands-on, you will dive into codebases, ship production-grade changes, review code rigorously, and manage incidents when necessary. You will challenge technical decisions, help engineers navigate complexity, and invest in their growth through one-on-ones, coaching, feedback, and career development conversations. Driving cross-team alignment and adoption of engineering best practices, including operational rigor and reliability standards, you will build trust with stakeholders through clear communication, progress updates, early risk identification, and collaborative technical direction. The AI Strategy and Innovation team shapes Moody's product ecosystem by embedding AI across product strategy using large language models, agentic platforms, and advanced analytics to enhance decision-making and client outcomes. Partnering with leading AI and technology providers such as Anthropic, Microsoft, AWS, and Databricks, the team accelerates innovation and expands platform capabilities, delivering transformative solutions at the intersection of AI, data, and financial intelligence in a digital-first world.

Experience
3+ years leading or managing software engineers, including coaching and career development, with the ability to lead through influence rather than formal authority. Strong backend or platform engineering background, remaining hands-on at the Tech Lead level. Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling). Experience operating production distributed systems on AWS/Azure with a strong grasp of reliability, observability, and incident response at scale. Deep expertise in artificial intelligence with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption.

About you
Excellent communication skills with the ability to build consensus and translate technical topics for engineers and executives alike. Strong sense of ownership and humility, with a thoughtful perspective on humans and AI agents working collaboratively, including understanding what humans should and should not delegate. Ability to influence and inspire engineers and stakeholders. Commitment to upholding Moody’s values: investing in every relationship, leading with curiosity, championing diverse perspectives, turning inputs into actions, and maintaining trust through integrity.

Qualifications
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field; advanced degree preferred.