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Asst Dir-AI Eng- Partnerships

Job in New York, New York County, New York, 10261, USA
Listing for: hackajob
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing, Systems Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Location: New York

hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. 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 Type Script, 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 (Open Search, 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
  • Architect end-to-end technical solutions, producing system diagrams,…
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