AI Automation Engineer
Listed on 2026-09-17
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Software Development
Software Testing, AI QA / Validation Engineer, AI Engineer (Applied/Software)
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.
- Experience with Type Script and Playwright, or a strong foundational understanding of programming and test automation concepts applied to UI, API, integration, and regression testing
- Familiarity with Git Hub Actions and version control practices, with the ability to integrate and execute automated tests within continuous integration and continuous delivery workflows
- Ability to build and maintain reusable automation frameworks and design reliable test cases, including management of test data and automation assets
- Interest in and experience using AI-assisted tools such as Codex, Claude Code, and similar AI command-line interface tools to enhance automation productivity in software development and testing
- Basic understanding of prompt engineering, context engineering, and general AI concepts, with the ability to review, validate, and refine AI-generated code, test cases, and documentation
- Ability to work in an Agile team environment, manage changing priorities, and collaborate effectively with developers, engineers, and product owners
- Strong analytical, communication, documentation, and problem-solving skills with a commitment to automation standards and overall product quality
- Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
- Bachelor's degree in Computer Science or a closely related field
Design, build, and maintain automated testing solutions using Type Script and Playwright to ensure software quality across UI, API, integration, and regression testing within an Agile team.
- Develop and maintain automated tests using Type Script and Playwright, building reusable automation frameworks for UI, API, integration, and regression testing
- Use AI-assisted tools such as Codex, Claude Code, and similar AI command-line interface tools to improve automation productivity and development efficiency
- Apply prompt engineering and context engineering techniques to provide effective instructions and relevant context when working with AI tools
- Review, validate, and refine AI-generated code, test cases, and documentation to ensure accuracy, quality, and alignment with testing standards
- Design reliable test cases, maintain test data and automation assets, and integrate automated tests into Git Hub Actions continuous integration and continuous delivery workflows
- Review test results, maintain automation coverage, analyze test failures, and support root cause analysis and resolution of automation issues
- Collaborate with developers, QA engineers, and product owners to define test requirements and acceptance criteria
- Contribute to automation standards, framework improvements, test coverage, and overall product quality in a collaborative and fast-paced environment
Our Quality Engineering team is responsible for building…
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