Description
The Engineer, Product Manager leads the design, build and adoption of AI and agentic solutions in the Automation Acceleration Hub, combining hands-on AI engineering with product management to turn high-value opportunities into solutions that change how GSK runs technology.
Key Responsibilities:
- Identify, shape and prioritise high-value AI and automation opportunities across DPTF, linking each to strategy and to a measurable outcome.
- Lead the design and delivery of AI and agentic solutions that accelerate delivery and operations, staying hands-on where necessary.
- Own the AI product roadmap and backlog, steering with OKRs and value metrics under lean portfolio principles.
- Build reliability and responsible-AI guardrails into solutions from the start, with clear service levels for AI services.
- Partner with platform domains to embed solutions in their operations and transition ownership as solutions mature.
- Champion AI-native ways of working across DPTF and measure the value and efficiency delivered by AI solutions.
Professional Qualifications:
- Degree in a technology, engineering, mathematics or computer science discipline, or equivalent practical experience.
- AI, machine learning or cloud certifications desirable, together with product or agile credentials.
Experience Required:
- Overall 18 years and typically 8-10 years in engineering or technology delivery, including at least three years building AI, machine learning or automation solutions in production.
- Strong hands-on experience with AI and agentic solutions, including large language model and agent frameworks.
- Product management experience, covering opportunity assessment, roadmap and backlog ownership and value measurement.
Skills/Background:
- Combination of engineering credibility and product judgement.
- Discipline to stop a solution that is not delivering value.
- Judgement about where agentic approaches genuinely fit and where a simpler method is better.