Asst Dir-AI Eng- Partnerships

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. 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.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills and Competencies

• Proficiency in TypeScript, Python, or similar programming languages, with a strong foundation in software development best practices and engineering principles
• Comfortable working across the full stack: frontend components, API design, backend services, and database queries
• Expertise in artificial intelligence, AI agents and agentic workflows, including tool-use patterns, harness/skills/plugin architectures, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency
• Experience with system integrations and modern protocols, including Model Context Protocol (MCP) and related interoperability standards (A2A)
• Experience with data feeds and data delivery via batch ingestion, streaming and connector frameworks for enterprise data delivery
• Hands-on experience across major cloud platforms and marketplace ecosystems, including Microsoft Azure, Amazon Web Services, Google Cloud Platform, and Databricks
• Understanding of Enterprise OAuth flows and secure authentication patterns for multi-platform integrations
• Strong technical background combined with a product-focused mindset, including demonstrated knowledge of the software development lifecycle (SDLC) and application packaging and deployment
• Proven experience delivering technical proofs of concept (POCs), live demonstrations, and prototype solutions to prospects, partners, and enterprise clients
• Proven experience leading solution architecture design, technical diagramming, and whiteboarding sessions to communicate and validate system design decisions
• Strong collaboration and communication skills with the ability to work cross-functionally across engineering, product, and business teams to deliver results
• Familiarity with CI/CD practices and tools (Git, Docker, Terraform, Jira) preferred
• Understanding of event-driven systems, asynchronous processing, and distributed architectures preferred
• Ability to evaluate trade-offs between data models, query patterns, and integration topologies preferred
• Experience with serverless architectures (Lambda, ECS, or equivalent) preferred
• Exposure to search platforms (OpenSearch, Elasticsearch) or ETL pipelines preferred
• Experience building or integrating with marketplace listing workflows (Azure Marketplace, AWS Marketplace, Databricks Partner Connect) preferred
• Experience with Teams bots and Microsoft AI delivery channels preferred
• 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

Education

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field required; advanced degree preferred

Responsibilities

This role leads the design and deployment of AI-powered integration solutions, bridging Moody's analytical platforms with partner ecosystems through cutting-edge engineering and agentic architecture.

• Architect end-to-end technical solutions, producing system diagrams, architecture documentation, and whiteboard presentations that align engineering efforts with product vision and stakeholder expectations
• Lead the design and development of GenAI-powered solutions, including large language model-based tooling and AI agents that extend Moody's analytical capabilities into partner ecosystems
• Build and maintain agentic workflows, skills, and tool-use integrations that allow AI systems to interact with Moody's platforms and third-party services via Model Context Protocol and related protocols
• Serve as a technical advisor in client-facing engagements, effectively communicating complex AI architectures, solution options, and recommendations to both technical and non-technical audiences
• Build and deliver compelling proofs of concept, live demonstrations, and prototype solutions that showcase Moody's capabilities and accelerate partner adoption
• Deploy, monitor, and optimize integrations across cloud environments including Microsoft, Amazon Web Services, Google Cloud Platform, Databricks, and other marketplaces
• Drive the full software development lifecycle from ideation through application packaging, deployment, and ongoing maintenance, ensuring high-quality and scalable engineering outcomes
• Define and implement integration patterns and protocols, including Model Context Protocol and Agent-to-Agent (A2A), to ensure seamless interoperability across platforms and systems
• Partner with product and engineering teams to contribute to the technical roadmap, ensuring alignment with business goals, market opportunities, and evolving AI capabilities

About the Team

Our Data, Content and Innovation (DC&I) team is responsible for building and deploying intelligent, AI-powered solutions that drive innovation across Moody's products and platforms. We contribute to the organization by accelerating the development of next-generation analytical tools, enabling smarter client experiences, and advancing Moody's leadership in applied artificial intelligence. By joining our team, you will be part of a high-impact group leveraging cutting-edge cloud technologies and machine learning frameworks to transform how Moody's delivers insight and value — responsibly and at scale.

For US-based roles only: the anticipated hiring base salary range for this position is $132,600.00 - $192,300.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [email protected] . This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement . Click here for more information on your EEO rights under the law . Click here to view our Pay Transparency Nondiscrimination statement . Click here to view our Notice to New York City Applicants.
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.