Job Description
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, 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
• 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
• 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
Moody’s 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 Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s 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.
In a world shaped by increasingly interconnected risks, Moody's helps customers develop a holistic view of these risks to advance their business and act decisively. With a rich history of expertise in global markets and a diverse workforce in more than 40 countries, Moody's unites the brightest minds to turn today's risks into tomorrow's opportunities.
Inclusion at Moody's
We strive to ensure all employees can safely express their true selves, without regard to their race, color, gender, age, religion, national origin, ancestry, citizenship, marital or familiar status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other personal characteristic.
We recognize the importance of supporting and understanding each other. Our commitment extends to maintaining a respectful and inclusive workplace with zero tolerance for racism, antisemitism, Islamophobia, sexism, homophobia or any other expression of hate, in any form, for any group or community.
We also believe that everyone should have an equal opportunity to succeed. This dedication extends to growth opportunities for both our employees and our communities.
Discover how we're building a culture where every voice belongs and learn 'What is Inclusion' at Moody's. For more explore Inclusion at Moody's.
Return to Work is Moody’s
Ready to re-ignite your career? Moody’s RE-IGNITE is a paid full-time opportunity for people who have experienced a two-year hiatus from work or more. Our 16-week program introduces you to one of our dynamic teams with hands-on projects, coaching & mentoring, leadership development, and networking events. Many of our participants have gone on to full-time roles with Moody’s.
Apply to a RE-IGNITE opportunity today.
Testimonial:
RE-IGNITE Alumni: Veena, Know Your Customer
“Moody’s RE-IGNITE was the kind of return-to-work opportunity I was looking for when I felt ready to re-enter the workforce in a full-time capacity. During RE-IGNITE I had the opportunity to work on live projects, strengthen and expand my skill set, learn about different aspects of the business, interact with Moody’s senior management and learn from their experience. RE-IGNITE helped me immensely in easing back into the workforce.”
RE-IGNITE Alumni: Melba, Data Solutions
“RE-IGNITE was a great experience. Not only was it a well-managed and supportive transition back to the workforce, but it was also a great way to learn about the Moody’s culture and ensure a good fit. The broad exposure to diverse people and senior management enhanced our knowledge of all Moody’s lines of business.”
RE-IGNITE Alumni: Joanna, Corporate Finance Group
“RE-IGNITE was a terrific way to not only return to the workforce, but also to learn about Moody’s as a company, its culture, and especially its strong focus on diversity and inclusion.”