Job description
Overview In this role you will lead on-site technology efforts at key GSC manufacturing sites, translating high-value AI, data and digital opportunities into tangible PoCs, PoVs and MVPs. You will work closely with site and global product teams to validate value and feasibility, guiding decisions from pilot to scale-up while ensuring governance and compliance from the start. You'll embed with business units to shape technology solutions that accelerate manufacturing improvements and lifecycle ownership. This is a high-impact, cross-functional position within GSK's digital transformation agenda.
ResponsibilitiesEmbed with strategic GSC sites and business teams to understand challenges and high-value opportunities
Translate AI, data and digital opportunities into measurable use cases and executable solutions
Design, build and validate PoCs/PoVs/MVPs with real site data and workflows
Provide hands-on engineering across AI, data, integration, applications and automation
Make evidence-based continue/adapt/stop recommendations based on value, feasibility, adoption, risk and scalability
Incorporate governance for Code Orange, Responsible AI, cybersecurity, privacy, data governance, GxP and architecture from the start
Partner with GSK & GSC product teams to transition validated solutions for industrialization and lifecycle ownership
Resolve deployment barriers across legacy systems, data, integration and security with site teams
Convert site learnings into reusable agents, patterns and reference architectures for other sites
Build site capability through delivery, coaching, documentation and knowledge transfer
Key requirementsBachelor's degree in Computer Science, Software Engineering, Data Science, AI, Engineering, IT, Manufacturing Systems, or related discipline
6+ years in technology, engineering, data, AI, digital or manufacturing environments
Experience delivering AI, Data & Analytics, Smart Manufacturing or Digital transformation in manufacturing or supply chain
Software engineering experience with modern application development frameworks
Experience with Generative AI, AI agents, prompt engineering, RAG, or AI-assisted development
Experience developing PoCs, PoVs or MVPs
Experience working with business stakeholders to identify and deliver technology solutions
Experience working across cross-functional product, data, engineering or business teams
Cross-functional collaboration
Strategic thinking
Communication
Python
Generative AI
AI agents
Worksite address
King Of Prussia, PA, 19406, US
Who can apply
Review the original listing for location, eligibility and application requirements.