Director of AI Platforms and Innovation
About the role
About The Company
Moody's Corporation is a globally recognized leader in the field of credit ratings, research, and risk analysis. With a long-standing reputation for integrity and excellence, Moody's provides essential credit ratings, research, and data to help organizations, investors, and governments make informed decisions. The company's mission is to promote transparency and stability in the financial markets by decoding complex risk factors and transforming them into actionable insights. As the world continues to evolve with technological advancements, Moody's is at the forefront of integrating artificial intelligence and innovative solutions to enhance its offerings and maintain its leadership position in the industry.
About The Role
Moody's Corporation is seeking an experienced and visionary Director of AI Platforms and Innovation to lead the strategy, development, and deployment of advanced AI solutions across the organization. This leadership role requires a seasoned professional with a deep understanding of enterprise AI applications, large language models, and modern software architecture. The successful candidate will oversee multiple engineering teams, drive technological innovation, and shape the long-term technical roadmap for Moody's AI initiatives. This role offers an exciting opportunity to influence how Moody's leverages artificial intelligence to deliver impactful, scalable, and responsible solutions that enhance the company's analytical capabilities and client offerings. The Director will collaborate closely with cross-functional teams, including product management, legal, compliance, and risk, to ensure AI solutions are innovative, ethical, and aligned with business objectives.
Qualifications
Bachelor's or master's degree in Computer Science, Engineering, Artificial Intelligence, or a related discipline, or equivalent professional experience.
12+ years of software engineering experience with a proven track record in leading large-scale, multi-team initiatives that deliver measurable business impact.
At least 5+ years of experience managing engineering teams, including engineering managers, technical leads, and staff engineers, with a focus on delivering complex projects.
Deep technical expertise in programming languages such as TypeScript, Python, C#, or similar, with the ability to engage in architecture and code reviews and assess technical risks.
Extensive experience in enterprise AI applications, including large language models, retrieval augmented generation, orchestration frameworks, and model evaluation.
Proven experience managing AI systems in production environments, including observability, capacity planning, incident response, and regression detection.
Strong knowledge of cloud-native technologies, serverless architectures, event-driven systems, data pipelines, and modern software architecture patterns.
Experience developing multi-year technical strategies and guiding organizations from AI prototypes to production deployment.
Deep understanding of AI governance, ethical considerations, and responsible AI practices, with a focus on innovation and operational efficiency.
Responsibilities
Define and execute the long-term technical strategy for Moody's AI platforms, aligning with organizational goals and market needs.
Oversee the architecture, development, and deployment of AI-powered solutions, including large language models, retrieval systems, and agentic workflows.
Lead and grow multiple engineering teams, fostering a culture of excellence, innovation, and continuous improvement.
Drive architectural decisions, ensuring scalable, secure, and reliable AI systems that adhere to best practices and compliance standards.
Manage budgets related to cloud infrastructure, tooling, vendor relationships, and resource allocation to optimize operational costs.
Collaborate with cross-functional stakeholders such as product teams, legal, compliance, and risk management to ensure responsible AI deployment and maximize customer value.
Mentor and develop engineering talent, establishing succession plans, performance coaching, and leadership development initiatives.
Establish and monitor key performance indicators (KPIs) related to platform adoption, system reliability, cost efficiency, and business impact.
Benefits
Moody's offers a comprehensive benefits package designed to support the well-being and professional growth of its employees. This includes competitive medical, dental, and vision insurance plans, parental leave, paid time off, and a 401(k) retirement plan with company matching contributions. Employees also have access to life, disability, and accident insurance, as well as tuition reimbursement programs to support continuous learning. The company emphasizes work-life balance and provides flexible work arrangements where applicable. Additionally, Moody's fosters a collaborative and inclusive environment that encourages innovation, diversity, and professional development. Employees are recognized for their contributions and are given opportunities to participate in impactful 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 and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, veteran status, or any other characteristic protected by law. The company provides reasonable accommodations for qualified individuals with disabilities or sincerely held religious beliefs in accordance with applicable laws. Moody's values the unique perspectives and experiences each individual brings and strives to create an environment where everyone can thrive and contribute to the company's success.
Responsibilities
- Define and execute the long-term technical strategy for Moody's AI platforms.
- Oversee the architecture, development, and deployment of AI-powered solutions.
- Lead and grow multiple engineering teams, fostering a culture of excellence.
- Drive architectural decisions for scalable and reliable AI systems.
- Manage budgets related to cloud infrastructure and resource allocation.
- Collaborate with cross-functional stakeholders to ensure responsible AI deployment.
- Mentor and develop engineering talent.
- Establish and monitor key performance indicators related to platform adoption.
Qualifications
- Bachelor's or master's degree in Computer Science, Engineering, or related discipline.
- 12+ years of software engineering experience.
- 5+ years of experience managing engineering teams.
- Deep technical expertise in programming languages such as TypeScript, Python, or C#.
- Extensive experience in enterprise AI applications.
- Proven experience managing AI systems in production environments.
- Strong knowledge of cloud-native technologies and modern software architecture.
Benefits
- Competitive medical, dental, and vision insurance plans.
- Parental leave and paid time off.
- 401(k) retirement plan with company matching contributions.
- Life, disability, and accident insurance.
- Tuition reimbursement programs.
- Flexible work arrangements.