Let's begin! Staff Software Engineer AI

At Moodys we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas think innovatively and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment were advancing AI to move from insight to actionenabling 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

8 years of experience in software engineering with deep hands-on experience designing coding testing and operating scalable resilient production-grade backend systems and cloud-native services
Expert-level coding capability in modern programming languages such as Python TypeScript Java Go or similar with the ability to personally contribute high-quality production code while guiding technical direction
Deep hands-on expertise building enterprise AI applications using large language models AI agents retrieval-augmented generation prompt engineering orchestration frameworks evaluation methods and model optimisation techniques
Proven ability to take complex AI solutions from prototype to production making practical engineering trade-offs across performance scalability reliability security maintainability and cost
Expert knowledge of cloud platforms such as Amazon Web Services Google Cloud Platform or Microsoft Azure with strong experience using Docker Kubernetes Elastic Container Service or equivalent technologies in production environments
Strong experience designing and implementing application programming interfaces distributed systems event-driven architectures data pipelines PostgreSQL MongoDB Redis vector databases observability and automated deployment pipelines
Demonstrated ability to influence technical direction while remaining close to the codebase mentoring engineers through design reviews code reviews pairing debugging and hands-on problem solving
Deep expertise in artificial intelligence with a track record of implementing advanced AI solutions to drive strategic transformation platform scalability and operational efficiency
Demonstrated commitment to responsible AI practices including AI risk awareness ethical use governance evaluation monitoring and continuous improvement of AI-enabled products and services

Education

Bachelors degree or higher in Computer Science Software Engineering Artificial Intelligence or a related technical field or equivalent practical experience

Responsibilities

Design code and lead delivery of scalable AI platforms and intelligent applications that bring emerging AI capabilities into production

Act as a hands-on technical leader spending significant time designing coding reviewing debugging and improving production systems that support AI-powered products and services
Design and build scalable backend services application programming interfaces data pipelines inference pipelines and platform capabilities that support real-time and batch AI workloads at enterprise scale
Implement advanced large language model applications using retrieval-augmented generation prompt orchestration evaluation frameworks model optimisation agentic workflows and tool integration
Make key technical decisions while remaining accountable for practical implementation quality including code maintainability system performance reliability security scalability and cost efficiency
Establish engineering best practices through hands-on contribution code reviews technical design reviews automated testing observability monitoring and operational excellence
Champion machine learning operations practices including model lifecycle management prompt versioning automated evaluation deployment pipelines monitoring and continuous improvement
Partner with product managers data scientists machine learning engineers engineering leaders and business stakeholders to translate strategic priorities into robust buildable technical solutions
Build reusable frameworks libraries developer tooling and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity
Evaluate emerging AI technologies through practical prototypes proof-of-concept builds and production-readiness assessments then guide teams on implementation patterns and trade-offs
Mentor engineers through practical technical coaching pairing code reviews design feedback documentation and example-setting as a senior individual contributor

About the team

Our Innovation team is responsible for building next-generation internal and external products powered by cutting-edge artificial intelligence technologies including large language models AI agents machine learning and natural language processing.
The group brings together engineers data scientists and AI specialists to solve complex challenges and turn breakthrough ideas into practical products that enhance productivity unlock insights and create measurable business impact.
Collaboration is central to how the team works. Engineers contribute across the full AI lifecycle from experimentation and prototyping through to large-scale production deployment while helping shape reusable platforms frameworks and responsible AI practices.
By joining the team you will work on some of the most exciting challenges in applied AI contribute directly to production code and architecture and be part of a culture that values curiosity innovation knowledge sharing and continuous growth

Moodys is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability protected veteran status sexual orientation gender expression gender identity or any other characteristic protected by law.

Candidates for Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys 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.