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Let's begin! Principal Software Engineer-AI
Job Location:
Monthly Salary:
Posted:
2 September 2026 (11 hours ago)
Posted:
Application Deadline:
30 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Skills and Competencies
- 12 years of software engineering experience including 5 years leading engineering teams and delivering complex large-scale multi-team initiatives with measurable business impact
- Experience leading multiple teams or groups of teams including managing engineering managers technical leads and staff-level engineers with accountability for delivery outcomes across a portfolio
- Strong technical depth in TypeScript Python C# or similar technologies with the ability to engage credibly in architecture and code reviews challenge design decisions and assess technical risk
- Deep expertise in enterprise AI applications built on large language models including agents retrieval augmented generation orchestration frameworks model optimization and evaluation frameworks
- 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 running AI systems in production at scale including observability cost and capacity planning regression detection and incident response for AI-powered applications
- Experience operating production distributed systems on AWS/Azure with a strong grasp of reliability observability and incident response at scale
- Deep knowledge of cloud-native technologies serverless applications event-driven architectures data and inference pipelines relational NoSQL and vector databases and modern software architecture patterns
- Proven track record of owning multi-year technical strategy and architectural roadmaps guiding teams from AI prototype through production deployment and influencing organizational change
- 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
- Bachelors or masters degree in Computer Science Engineering Artificial Intelligence or a related discipline or equivalent professional experience
Lead the strategy delivery and evolution of mission-critical AI platforms and intelligent applications while driving engineering excellence across the Digital Content and Innovation organization.
- Define and execute long-term technical strategies while owning the multi-year architecture and technology roadmap for AI platforms and applications
- Lead grow and organize multiple engineering teams including engineering managers technical leads and staff-level engineers with accountability for delivery outcomes across the portfolio
- Drive architectural decisions organizational alignment and integration of AI-powered solutions using large language models retrieval augmented generation orchestration frameworks and agentic workflows
- Establish engineering excellence through architecture reviews code reviews automated testing observability security standards operational excellence and machine learning operations practices
- Own budget planning and cost management including headcount cloud infrastructure model consumption tooling investments vendor relationships and build-versus-buy decisions
- Partner with product business risk legal compliance and audit stakeholders to maximize customer value and implement responsible AI governance practices
- Attract develop and retain engineering talent through mentoring succession planning performance coaching and the cultivation of future engineering leaders
- Define and report on key metrics that demonstrate platform adoption delivery performance reliability cost efficiency and measurable business impact
Our Digital Content and Innovation team is responsible for building and deploying intelligent AI-powered solutions that drive innovation across Moodys products and platforms. The team accelerates the development of next-generation analytical capabilities enables smarter client experiences and advances Moodys leadership in applied artificial intelligence. As Principal Engineer you will define the technical vision guide strategic investments build high-performing teams and help transform applied AI into scalable production-ready capabilities that deliver measurable value responsibly and at scale.
Required Experience:
Staff IC
About Company
Moody's CreditView is our flagship solution for global capital markets that incorporates credit ratings, research and data from Moody's Investors Service plus research, data and content from Moody's Analytics.
