Director of AI Engineering
About the role
About The Company
Moody's Corporation is a globally recognized leader in credit ratings, research, and risk analysis, dedicated to providing insightful and reliable information to help organizations make informed decisions. With a rich history of innovation and integrity, Moody's empowers clients across various industries to navigate the complexities of financial markets and economic environments. The company fosters a culture of inclusivity, collaboration, and continuous learning, ensuring that its workforce remains at the forefront of industry advancements. As part of Moody's commitment to responsible growth, it emphasizes ethical governance, technological innovation, and sustainable practices to deliver long-term value to stakeholders worldwide.
About The Role
Moody's Corporation is seeking an experienced Director of AI Engineering to lead the strategy, development, and deployment of advanced artificial intelligence platforms and applications. This leadership role involves overseeing multiple engineering teams, shaping the technical vision, and driving innovation in AI-powered solutions. The successful candidate will play a pivotal role in transforming Moody's AI initiatives from prototypes to scalable, production-ready systems that deliver measurable business impact. This position requires a strategic thinker with deep technical expertise in enterprise AI, large language models, and cloud-native architectures, committed to fostering a culture of excellence, collaboration, and responsible AI governance.
Qualifications
12+ years of experience in software engineering, with at least 5 years in leadership roles managing engineering teams and complex projects.
Proven expertise in languages such as TypeScript, Python, C#, or similar, with a strong understanding of architecture and code review processes.
Deep knowledge of enterprise AI applications, including large language models, retrieval augmented generation, and orchestration frameworks.
Experience deploying AI systems at scale in production environments, with a focus on observability, cost management, and incident response.
Strong background in cloud-native technologies, serverless architectures, data pipelines, and modern software design patterns.
Track record of developing multi-year technical strategies, guiding teams through AI prototype to deployment, and influencing organizational change.
Advanced understanding of AI risks, ethical considerations, and responsible AI practices, with experience implementing governance frameworks.
Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or related fields, or equivalent professional experience.
Responsibilities
Define and execute the long-term technical strategy for Moody's AI platforms and applications, aligning with organizational goals and industry best practices.
Lead, mentor, and grow multiple engineering teams, including managers, technical leads, and senior engineers, ensuring high performance and accountability.
Drive architectural decisions related to AI solutions, integrating large language models, retrieval augmentation, and agentic workflows to enhance product capabilities.
Promote engineering excellence through rigorous architecture and code reviews, automated testing, security standards, and operational best practices.
Manage budgets related to infrastructure, headcount, tooling, and vendor relationships, making strategic build-versus-buy decisions to optimize resources.
Collaborate with cross-functional teams including product management, legal, compliance, and risk to ensure responsible AI deployment and maximize customer value.
Attract, develop, and retain top engineering talent through mentoring, succession planning, and fostering a culture of innovation and continuous improvement.
Establish and report on key performance metrics related to platform adoption, reliability, cost efficiency, and business impact.
Benefits
Moody's offers a comprehensive benefits package that supports the well-being and professional growth of its employees. This includes competitive medical, dental, and vision plans, parental leave, paid time off, and a 401(k) plan with company matching contributions. Employees also have access to life, disability, and accident insurance, along with tuition reimbursement programs to foster continuous learning. The company promotes a healthy work-life balance through flexible work arrangements and wellness initiatives. Additionally, Moody's provides opportunities for career advancement, leadership development, and participation in innovative projects that shape the future of risk assessment and financial analytics.
Equal Opportunity
Moody's Corporation is an equal opportunity employer committed to fostering an inclusive environment where all employees and applicants are treated with respect and fairness. The company does not discriminate based on race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, veteran status, or any other characteristic protected by law. Moody's provides reasonable accommodations for qualified individuals with disabilities or sincerely held religious beliefs in accordance with applicable laws. The organization values diversity and strives to create a workplace that reflects the communities it serves, ensuring all employees have the opportunity to succeed and contribute meaningfully to Moody's mission.
Responsibilities
- Define and execute the long-term technical strategy for Moody's AI platforms and applications.
- Lead, mentor, and grow multiple engineering teams, ensuring high performance and accountability.
- Drive architectural decisions related to AI solutions, integrating large language models and agentic workflows.
- Promote engineering excellence through architecture and code reviews, automated testing, and operational best practices.
- Manage budgets related to infrastructure, headcount, tooling, and vendor relationships.
- Collaborate with cross-functional teams to ensure responsible AI deployment and maximize customer value.
- Attract, develop, and retain top engineering talent through mentoring and fostering a culture of innovation.
- Establish and report on key performance metrics related to platform adoption and business impact.
Qualifications
- 12+ years of experience in software engineering, with at least 5 years in leadership roles.
- Proven expertise in languages such as TypeScript, Python, C#, or similar.
- Deep knowledge of enterprise AI applications and large language models.
- Experience deploying AI systems at scale in production environments.
- Strong background in cloud-native technologies and modern software design patterns.
- Track record of developing multi-year technical strategies and influencing organizational change.
- Advanced understanding of AI risks and responsible AI practices.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields.
Benefits
- Competitive medical, dental, and vision plans.
- Parental leave and paid time off.
- 401(k) plan with company matching contributions.
- Life, disability, and accident insurance.
- Tuition reimbursement programs.
- Flexible work arrangements and wellness initiatives.
- Opportunities for career advancement and leadership development.