Senior Product Engineer

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.

To apply, please submit your detailed resume, stating your expected salary and availability, to the Human Capital Management Department. Kindly note that only shortlisted candidates will be notified. All personal data collected will be handled in strict confidence and will be used solely for recruitment purposes.