Position: QA Test Architect with Good experience with AI and Healthcare Domain Location: Remote Term : Fulltime About Infinite: Infinite is a global leader in digital engineering and IT services, with over 20 years of experience driving digital transformation. We partner with leading Fortune 1000 companies to deliver innovative, scalable technology solutions that accelerate business outcomes. With deep expertise in telecommunications, healthcare, banking, and finance, Infinite helps organizations optimize and modernize their technology landscapes to achieve long-term growth and efficiency. Infinite Computer Solutions seeks a Transformation Lead, Artificial Intelligence to own and advance AI-driven test automation across its healthcare and state-program testing engagements. The person designs, builds, and deploys AI systems that generate and accelerate software testing, and drives their adoption within the testing organization — owning the test-data governance and the stakeholder relationships that make AI testing succeed in regulated environments. This is a hands-on technical leadership role: the holder personally architects and delivers the AI testing solutions and serves as the team's AI subject-matter expert.

Key Responsibilities

Own and build the AI test-generation capability — design, build, and deploy agentic and LLM-based systems that automatically generate comprehensive test suites (functional, negative, boundary, integration) from requirements documents, with retrieval-augmented domain knowledge, on cloud platforms (AWS/Azure). Build the evaluation and quality controls for AI-generated tests — accuracy, coverage, and regression checks that verify the AI outputs meet quality standards before use. Drive adoption of AI-assisted testing across state programs — each with its own requirements, stakeholders, and pace of change. Serve as the AI subject-matter expert to QA leads, delivery/account teams, and client stakeholders on AI in testing; advise on approach and build-vs-buy. Own data governance for AI on regulated test data — PHI/PII data isolation, de-identification, and HIPAA-compliant handling. Lead and coordinate a small AI engineering and QA team; partner cross-functionally with testing and account teams to deliver and iterate.

Required Qualifications

Bachelor's or Master's in Computer Science, Engineering, or a related field — or equivalent professional experience. 5+ years in AI/ML, AI product delivery, or software/quality engineering, including hands-on design and deployment of LLM / agentic / retrieval-augmented (RAG) systems on a major cloud platform (AWS preferred). Demonstrated track record taking AI solutions from concept to production. Software testing / QA automation experience and the ability to make AI testing reliable and measurable. Strong stakeholder management and the credibility to serve as an AI SME to QA leaders and clients. Experience leading or coordinating technical teams.

Preferred Qualifications

Healthcare / Medicaid / payer IT domain experience. HIPAA / PHI / PII data-governance experience in production systems. Test/QA automation tooling and agile delivery. Technical stack: Python; LLM APIs (e.g., Anthropic Claude, OpenAI GPT); RAG, embeddings, and vector/semantic search; multi-agent orchestration; cloud (AWS/Azure) and MLOps.