Skills and Competencies

5+ years of product or research methodology design experience, with a strong track record of delivering results.
Proven experience contributing to the design, development, or launch of AI- or ML-enabled solutions.
Deep understanding of large language models (LLMs), AI agents, context management, and agentic engineering, paired with hands-on experience using AI-assisted coding tools such as Cursor, Windsurf, or GitHub Copilot.
Experience contributing to designing evaluation frameworks and observability for AI models in production.
Familiarity with AI governance, explainability, and responsible AI practices, especially in regulated industries.
Customer-first mindset with the ability to design human-in-the-loop systems, learning loops, and intuitive AI experiences that anticipate emerging user needs.
Skilled at cross-functional collaboration with AI engineers, domain experts, customers,aligning on goals and accelerating delivery through early prototyping, fast feedback loops, and continuous iteration.
Creative proactive problem-solver who balances speed of delivery with purposeful innovation and long-term product vision.
Passionate about shaping the future of AI-powered decision-making and translating innovation into trusted business outcomes.

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field preferred.

Responsibilities

Contribute to the expansion of Moody’s AI and agentic capabilities across the product suite.
Deliver on the product roadmap for AI and agentic capabilities, ensuring alignment with customer needs, compliance, and third-party risk priorities.
Define and evolve high-impact agentic use cases across third-party risk, including onboarding, screening, due diligence, and policy configuration.
Translate user pain points into intelligent automation workflows, powered by Moody’s data and expertise, that deliver measurable business value.
Monitor major developments in AI field to identify opportunities in capability expansion, ecosystem partnerships, and evolving regulatory frameworks.
Lead a cross-functional squad from problem to shipped solution, collaborating with AI engineering, data science, domain experts, and commercial stakeholders.
Partner with engineering and data science to evaluate and integrate appropriate AI/ML models and architectures, supporting lifecycle performance and scalability.
Define, track, and refine KPIs and usage metrics specific to Generative AI, using insights to guide continuous product improvement.
Gather client and internal feedback post-launch to guide rapid product improvements.
Ensure responsible AI deployment, including governance, auditability, and content safety across use cases.

About the Team

Our Corporate and Government (Corp and Gov) team is responsible for delivering innovative, data-driven solutions that help clients manage compliance, third-party risk, and regulatory obligations.

By joining our team, you will be part of exciting work in AI-powered product development, intelligent automation, and customer-centric design across global markets.

Company Benefits

Pension 3-6% EE / 6-12% ER
PMI
25 days holiday plus 2 company days to be taken in Dec
Bonus scheme
Plus other smaller benefits that will be outlined at offer

Interview Process

First stage with talent
Technical stage with Hiring manager
Final Competency stage

Title	Region	Posted At
QA Engineer	London Area, United Kingdom	8/18/2025
Staff Software Engineer	London Area, United Kingdom	8/18/2025
Associate Director - Product Manager ( AI)	London Area, United Kingdom	8/18/2025

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