Verification & Validation Engineer Process Transformation …, City of Sydney

Let’s Talk About The Role

We are seeking a Verification & Validation (V&V;) Engineer who is curious, analytical, and motivated to transform how engineering work gets done. In this role, you won’t just execute V&V; activities – you’ll contribute to rethinking how they operate, using data, automation, and AI to reduce rework, improve clarity, and support better decision‑making. You’ll support the evolution of product V&V; in a regulated setting – helping ensure safety and compliance while contributing to scalable and insight‑driven workflows. If you enjoy solving ambiguous problems this role will give you the prospect to make a meaningful impact.

Key Responsibilities Contribute to Process Transformation: Identify inefficiencies and areas of friction within V&V; workflows, supporting initiatives that transform how work is performed and reduce rework. System‑Level Understanding: Help analyse how V&V; interacts with upstream and downstream activities, contributing to alignment across requirements, design, and testing. Apply Data & Evaluation Thinking: Use data to assess whether tools, automation, and workflows are delivering meaningful transformation, focused on outcomes. Apply AI in Context: Use AI tools within V&V; workflows, with an understanding of their limitations to improve reliability, transparency, and usefulness of outputs. Collaborate Across Teams: Work with cross‑functional stakeholders to transform workflows, share knowledge, and support adoption of improved approaches. Maintain Documentation: Prepare and maintain V&V; records and supporting materials in line with regulatory requirements.

Qualifications And Experience Bachelor’s degree in Engineering or Science. 3–5 years of experience in Verification & Validation, Systems Engineering, or a related discipline in a regulated industry. Practical exposure to AI applications in engineering workflows, such as predictive analytics, data classification, or workflow automation. Familiarity with requirements management tools (e.g., DOORS, Jama, Jira) and data science environments (Python, MATLAB, Jupyter). Solid analytical, problem‑solving, and communication skills, with the ability to clearly present findings.

Preferred Experience in medical devices or another regulated industry. Experience with AI usage in regulatory or quality contexts (e.g., automated reporting, AI‑assisted test coverage). J-18808-Ljbffr Apply on Kit Job: kitjobau.com/job/3qjmal