Senior Verification & Validation Engineer - Process …, City of Sydney

Overview We are seeking a Verification & Validation (V&V;) Senior 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 environment, 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 opportunity to make a meaningful impact. Key Responsibilities
- Be a Transformation Driver: Reframe and diagnose complex V&V; and system‑level challenges, identifying root causes across workflows, tools, and organisational boundaries.
- Redesign Ways of Working: Design and implement changes that shift how V&V; is performed; moving beyond incremental improvements to transformation of V&V.;
- Lead AI‑Enabled System Design: Integrate AI into V&V; as part of a broader system; defining context, guardrails and feedback loops to ensure outputs are reliable, auditable and trusted.
- Establish Signal & Evaluation Frameworks: Define how success is measured; developing benchmarks, experiments, and validation approaches to ensure automation and AI are improving outcomes, not masking issues.
- Embed Scalable Change: Ensure recent approaches are adopted and sustained, balancing technical solutions with behavioural and cultural acceptance. Qualifications and Experience
- Bachelor’s degree in Engineering, Science.
- 5+ years of experience in Verification & Validation, Systems Engineering, or related functions within a regulated industry, with demonstrated technical leadership in complex projects.
- Proven track record applying AI and automation to engineering workflows—covering areas such as predictive analytics, automated decision support, testing automation or large‑scale data integration.
- Strong working knowledge of requirements management tools (e.g., DOORS, Jama, Jira) and use of data science environments (e.g., Python, MATLAB, Jupyter).
- Exceptional analytical and problem‑solving skills, with the ability to translate technical insights into strategic recommendations for leadership and cross‑functional teams. Preferred
- Substantial experience in medical devices or similarly regulated industries.
- Demonstrated contributions to AI in regulatory, quality, or compliance contexts (e.g., AI‑assisted documentation, automated coverage analysis, predictive risk management). Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. A culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thriving on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant. #J-18808-Ljbffr Apply on Kit Job: kitjobau.com/job/3qlmvm