SDET

Exposure to AI/ML solution concepts such as prompt engineering/GenAI and machine learning, modeling and thought process regarding test strategy for same.

Experience managing CI/CD pipelines, test automation tooling and framework, feature-toggle management tooling, test environments and test data creation and maintenance, and vendor relationships.

Strategic mindset, strong communication skills and willingness to build team behaviors from the ground up.

Highly collaborative team player that works well within a cross functional team

Continuous improvement mindset where mistakes and failure are viewed as opportunities to learn and improve

• Develop and execute QA strategies for AI/ML-powered features, including LLM/SLM inputs/outputs, data / shared service pipelines, and application-level integrations.
• Design automated test frameworks for APIs, and microservice environments supporting AI solution deployment.
• Leverage the expertise of our Quality Center of Excellence (CoE) to bring an embedded quality mindset to the AI engineering team responsible for building the Charity's AI/ML integrated and stand-alone solutions.
• Validate functional requirements, data integrity, quality metrics capture, model outputs, and user experience where AI-generated decision making is involved.
• Create and maintain test plans, test cases, and regression automation suites. Document test cases using XRAY and build API collections using Insomnia
• Perform end-to-end testing of solution outputs, edge cases, error handling. Partner with developers and DevOps on testing latency and system performance.
• Support CI/CD pipeline quality gates and implement automation within build systems (e.g., Jenkins, GitHub Actions, etc.)
• Show a sensitivity towards solution governance by helping ensure compliance with security, data privacy, and responsible AI guidelines.
• Accountable for Team outcomes and success metrics around Test Coverage, Automation Levels, and Change Failure Rate.
• Able to contribute to the Test Pyramid definition for our solutions

6-9+ years of QA, software testing, or test automation / software development experience. Direct experience supporting QA within an AI solution integration teams a plus.

Software Engineering experience or exposure; ability to read and understand Unit and Integration Test Code

Proficiency with automation frameworks (e.g., Selenium) and scripting languages (Python/JavaScript preferred).

Working experience with Object Oriented Programming Languages (Java, C#, Groovy, etc.)

Familiarity with distributed systems, RESTful web services, JSON payloads, API debugging tools, and cloud platforms (AWS, Azure).

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.