QA Engineer (AI)

What if the work you did every day could impact the lives of people you know Or all of humanity

At Illumina we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.

Working at Illumina means being part of something bigger than yourself. Every person in every role has the opportunity to make a difference. Surrounded by extraordinary people inspiring leaders and world changing projects you will do more and become more than you ever thought possible.

Illuminas AI Center of Excellence is seeking a passionate and attention-oriented QA AI Engineer to support our world class innovative solutions. As a QA Engineer (AI Systems & Automation) ensure product software and software development process conforms to applicable safety and quality system regulations and standards (e.g. IEC 62304 ISO 13485 IVDD/IVDR). Responsible for executing Software Life Cycle activities including developing and conducting training with focus on new product development quality planning and risk management to positively impact the safety and efficacy of products. Identifies documents assesses corrects resolves and prevents quality issues risks or vulnerabilities using risk analysis root cause analysis tools from initial product concept through transfer to sustaining. Supports post market activities related to product software anomalies.

Roles and Responsibilities

Core QA & Automation
Develop and maintain test plans test cases traceability and test data for product and AI features
Execute manual and automated tests for web applications APIs data workflows and AI/ML features
Own automated regression suites release readiness criteria and provide clear go / no-go quality signals
Participate in agile ceremonies validate end-to-end functionality and ensure user stories (including AI features) meet acceptance criteria
Manage the full defect lifecycle including triage prioritization root cause analysis and verification of fixes
Maintain QA documentation runbooks and quality dashboards

AI-Systems QA Responsibilities
Design and execute test strategies for AI/LLM-powered capabilities including virtual agents chatbots copilots and RAG-based systems
Use approved LLM-powered tools to accelerate test design data generation exploratory testing and script authoring
Auto-generate and maintain test scripts
Define and monitor AI-specific quality metrics (accuracy vs. ground truth hallucination and error rates safety / policy adherence)
Ensure AI and virtual agent experiences are accurate consistent and high quality

Non-Functional Data Quality & Collaboration
Plan and execute performance load and scalability testing
Validate data integrity and transformation quality across complex biomedical data pipelines and AI-enhanced workflows
Partner with engineers and data scientists to ensure AI/ML models and integrations are testable observable and measurable post-deployment
Collaborate with development DevOps product UX and data teams to improve testability shift-left quality and increase automated coverage
Integrate automation into CI/CD (e.g. GitHub Actions Jenkins Azure DevOps GitLab CI) monitor test health and flakiness and address coverage gaps
Communicate quality risks trends and mitigation plans to technical and non-technical stakeholders including government partners

Preferred Experience/Education/Skills:

Bachelors degree in computer science Information Technology Engineering or related field
1Years Software QA experience (manual and automation) in production environments
1 Years Experience testing APIs and microservices architectures
Hands-on experience integrating automated tests into CI/CD pipelines (GitHub Actions Jenkins Azure DevOps or GitLab CI)
Professional-level proficiency in Python or JavaScript for test automation
Hands-on use of GenAI tools (e.g. ChatGPT Claude Copilot) for QA tasks such as test-case generation data creation and exploratory testing
Understanding of AI/agentic concepts
AI-driven data comparison and validation
Proficiency with Jira or similar issue tracking tools
Strong written and verbal communication skills including the ability to explain AI-related quality risks to stakeholders
Ability to prioritize multitask and operate effectively in complex mission-driven environments
Experience testing AI/ML-powered features (LLM applications RAG systems agents recommendation engines or chatbots)
Experience with one or more:
LangChain or LangGraph
AWS Bedrock Agents or OpenAI Assistants API
MCP (Multi-Context Protocol) or similar orchestration frameworks
Experience designing or testing internal QA copilots or automation bots for test author or execution
Prior QA experience in healthcare life sciences biomedical informatics or other regulated data environments

We are a company deeply rooted in belonging promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation Illumina has always prioritized openness collaboration and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay regardless of gender ethnicity or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences increase cultural awareness and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex race creed color gender religion marital status domestic partner status age national origin or ancestry physical or mental disability medical condition sexual orientation pregnancy military or veteran status citizenship status and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local state and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local state and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process please contact To learn more visit: The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.