Engineer Lead

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. 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, still hands-on at the Tech Lead level, with the ability to be both highly technical and an effective people manager ~ Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in 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 ~ Strong sense of ownership and humility, with a thoughtful perspective on humans and AI agents working on the same team - including what humans should and should not delegate ~ Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field; As a player-coach engineering leader in the Strategy and Innovation team, you will embed across high-priority projects, raise the technical bar across multiple squads, and develop engineers through credibility, influence, and hands-on delivery Embed in a high-priority project for four to six months at a time, guiding architectural decisions across AI-powered services, agent frameworks, and the Agentic software development lifecycle Coach and manage several engineers across squads, leading through influence and partnering with their product managers and tech leads Stay hands-on by diving into codebases, shipping production-grade changes, reviewing code at a high bar, and running incidents when needed Challenge technical decisions and help engineers think through complexity, shaping solutions rather than simply reviewing them Invest in engineers' growth through one-on-ones, coaching, feedback, and career development conversations Build trust with stakeholders through clear communication, sharing progress, surfacing risks early, and bringing people along on technical direction Our AI Strategy and Innovation team shapes Moody's product ecosystem through AI, data, and strategic partnerships to deliver next-generation solutions. The team embeds AI across product strategy using large language models, agentic platforms, and advanced analytics to enhance decision-making and client outcomes. We partner with leading AI and technology providers - including Anthropic, Microsoft, AWS, and Databricks - to accelerate innovation and expand platform capabilities. By connecting proprietary data, AI infrastructure, and commercial strategy, the team drives transformation across Moody's, delivering solutions at the intersection of AI, data, and financial intelligence to shape how Moody's creates value in a digital-first world All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.