The AI Control Tower is running a Proof of Concept (PoC) and subsequent rollout of an AI governance platform, evaluating Holistic AI and Airia LLC against a defined set of functional, technical, and compliance requirements. The QA Specialist owns test strategy, execution, and defect management across this process — ensuring the selected platform performs as required before and after full deployment, and that evidence of that performance is documented and defensible.

Bachelor degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
3+ years of QA / software testing experience, ideally involving enterprise platform rollouts or vendor PoCs.
Demonstrated experience writing test plans and test cases directly from functional and technical requirements.
Working experience with defect/issue tracking tools (e.g., Jira) and Kanban-based ways of working.
Strong analytical skills with high attention to detail and clear written documentation.
Fluent English, written and spoken; comfortable working with cross-functional and multi-vendors teams.
Test planning, execution, and requirements traceability.
Defect management and root-cause coordination with vendors.
Stakeholder communication across business, procurement, and technical teams.
Structured, evidence-based reporting.
Comfort operating with ambiguity in a fast-moving, PoC-stage environment.

Nice to have:

Prior exposure to AI/ML systems, AI governance, or model-risk testing.
Familiarity with recognized AI governance frameworks
Experience in a regulated industry (e.g., pharmaceutical)
Experience testing endpoint-deployed software across a large, distributed user base.
Agile/Scrum or Kanban delivery experience within a small, cross-functional team.

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