The Senior Product Engineer leads the design and delivery of complex technology solutions across multiple assigned business areas, including at least one business-critical area. The role works across the solution lifecycle, using AI-enabled engineering to build, test, deploy and support reliable solutions.
As a senior technical specialist, the role contributes to architecture and engineering standards, leads complex cross-system initiatives, and guides and mentors other engineers. Reporting to the IT Director, the role holds technical authority but no direct people-management responsibility.
Key Accountabilities- Lead the design and delivery of complex solutions aligned with business needs, architecture and technical standards.
- Advise on solution architecture, options, dependencies and risks; contribute technical input to business-unit blueprints and technology roadmaps.
- Lead complex, cross-system initiatives end-to-end, remaining hands-on where needed and applying AI-enabled engineering practices.
- Develop and share reusable AI-enabled delivery patterns, including agent workflows, evaluation, guardrails and human oversight.
- Apply quality, security, performance, reliability and release standards; conduct technical reviews and manage delivery risks.
- Work with business owners, key users and Technology stakeholders to clarify requirements, explain trade-offs and support prioritization.
- Guide and mentor Product Engineers and Associate Product Engineers, and provide capability input to the IT Director.
- Collaborate with Principal Engineers, Senior Solution Architects and the IT Director to align with Technology direction, escalating significant decisions as needed.
Requirements- Bachelor's degree in Computer Science, Engineering, IT, Software Engineering, Data Science, AI or a related discipline. Relevant technical certifications are preferred.
- 8-10 years' progressive experience in software or product engineering, including delivery of complex solutions.
- Experience designing solutions across integrated enterprise systems, such as ERP, MES/shopfloor, WMS, planning, data and integration platforms.
- Strong full-lifecycle engineering capability, from design and development through deployment and production support.
- Practical experience with AI-enabled engineering, including AI coding tools, agent workflows, RAG/data grounding, evaluation, guardrails and human oversight.
- Understanding of security, performance, resilience, data architecture and production support.
- Strong analytical skills, technical judgment, communication and stakeholder management, with experience guiding and mentoring engineers.
We offer a 5-day working week, a competitive remuneration package and generous fringe benefits. Excellent on-the-job training and development will also be provided.