Senior 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 6+ years of proven technology experience with strong proficiency across the integration landscape, including a deep understanding of API design, REST/SOAP services, and modern integration patterns Strong hands on experience designing and implementing event driven, cloud native services using pub/sub messaging, and serverless or container based producers/consumers and developing containerised or serverless applications Hands-on experience building and deploying Agentic AI solutions using tools like ClaudeCode, FastMCP, CrewAI interacting with LLM APIs. Experience with RAG based implementation is essential Experience with AI-assisted coding tools such as Cursor, Claude Code, GitHub Copilot, or similar platforms to enhance productivity and development efficiency Skilled in creating detailed architecture diagrams using Microsoft Visio or equivalent, and presentations using PowerPoint including integration flows, system designs, event-driven models, and microservices architectures for architecture reviews System Design & Security: Sound understanding of system architecture, secure coding practices, authentication, authorisation, and encryption Demonstrated ability to collaborate effectively in fast-paced engineering teams, leveraging practical, hands-on development. Strong written and verbal communication skills, with the ability to articulate complex technical concepts clearly and effectively 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 Master’s or Bachelor’s degree in Computer Science, Software Engineering, or a related field Responsibilities Design and deliver modern cloud-native and AI-driven solutions by combining hands-on development with architectural leadership across enterprise systems Work on AI application and agent development, integrating Python backends with modern front-end frameworks, and deploying solutions on Azure Architect and develop resilient cloud native services and APIs in AWS and Azure including serverless functions and containerized microservices. Implementing event driven integrations (queues, topics, streams), automated testing and CI/CD pipelines, secrets management, and telemetry to ensure reliability and scalability Design and develop architectural diagrams, integration flows, and system designs while adhering to enterprise architecture standards Create high quality technical presentations for architecture reviews, solution proposals, and leadership briefings Write clean, maintainable, and high performance code using Python, JS, and Unix shell scripting Leverage AI assisted development tools such as Cursor,