Software Engineer - AI

Position: Staff Software Engineer - AI
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 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, Type Script, 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

Deep experience with system integrations and modern interoperability protocols, including Model Context Protocol (MCP) and agent-to-agent (A2A) standards, with the ability to define integration patterns and shape how these are adopted at scale

Hands-on breadth across major cloud platforms and marketplace ecosystems, including Microsoft Azure, Amazon Web Services, Google Cloud Platform, and Databricks, with experience deploying and operating integrations in production across these environments

Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, and data pipelines, including batch ingestion, streaming, and connector frameworks for enterprise data delivery

Proven experience delivering technical proofs of concept, live demonstrations, and prototype solutions to partners and enterprise clients, and turning the successful ones into durable, production-grade systems

Strong understanding of enterprise OAuth flows and secure authentication patterns for multi-platform integrations

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

Demonstrated commitment to responsible AI practices, including AI risk awareness, ethical use, governance, evaluation, monitoring, and continuous improvement of AI-enabled products and services

Excellent collaboration and communication skills, with the ability to lead solution architecture design, technical diagramming, and whiteboarding sessions for both engineering and executive audiences, and to represent the organisation credibly in external technical engagements Education Bachelor's 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 across partner ecosystems Act as a hands-on technical leader, spending significant time designing, coding, reviewing, debugging, and improving production systems that support AI-powered products and partner integrations

Own the…