• Translate the AI Control Towers functional and technical requirements into detailed, traceable test cases and scenarios.
• Plan, execute, and document test cycles across the PoC (installation, functional, integration, performance, and security testing).
• Validate vendor self-assessment responses against the requirements checklist and flag gaps or discrepancies.
• Support and verify endpoint installation testing across the pilot user cohort (up to 50% of end users during PoC).
• Test and confirm core governance capabilities — runtime AI governance, risk/impact evaluation, monitoring and observability — behave as specified.
• Log, prioritize, and track defects and issues through resolution, coordinating directly with vendors technical teams.
• Coordinate with dependent teams within RO to align on resource needs and testing dependencies after each submission milestone.
• Contribute to defining the Definition of Done (DoD) and Definition of Ready (DoR) for the team’s Kanban board.
• Support User Acceptance Testing (UAT) with the pilot end-user cohort and capture structured feedback.
• Verify that audit trails, logs, and compliance reporting outputs meet Roche’s evidentiary and regulatory needs.
• Prepare clear, concise QA status reporting for AI Control Tower stakeholders, procurement, and leadership.”

• Must have – hands-on experience in testing AI/SaaS platforms.
• 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.

• Participation in interesting and demanding projects.
• Flexible working hours.
• A great, non-corporate atmosphere.
• Possibility to work remote or hybrid (2 days per week from the office).
• Opportunities for development and promotion.
• Attractive package of benefits.