Site Forward Deployed Engineer
Role Overview
Technical specialist embedded at GSK's Ware manufacturing site within Global Supply Chain Digital and Technology.
Connect local business stakeholders with global digital product teams and turn priority opportunities into validated digital solutions.
Use AI-native engineering to assess business value, technical feasibility, and governance, and provide evidence-based recommendations.
Key Skills for This Role
Full Job Posting
Role purpose
Technical specialist embedded at GSK's Ware manufacturing site within Global Supply Chain Digital and Technology.
Connect local business stakeholders with global digital product teams and turn priority opportunities into validated digital solutions.
Use AI-native engineering to assess business value, technical feasibility, and governance, and provide evidence-based recommendations.
Key responsibilities
- Understand site operational challenges, workflows, data, constraints, and high-value opportunities.
- Frame measurable Smart Manufacturing, AI, data, and digital use cases and build PoCs, PoVs, and MVPs with real site data and workflows.
- Provide hands-on engineering across AI, data, integration, applications, and automation.
- Assess value, feasibility, adoption, risk, and scalability; recommend whether to continue, adapt, or stop.
- Apply Code Orange, Responsible AI, cybersecurity, data governance, privacy, GxP, and architecture governance.
- Transition validated solutions to product teams for industrialization, scaling, support, and lifecycle ownership.
- Resolve legacy-system, data, integration, security, compliance, and local-process deployment barriers.
- Create reusable agents, integration patterns, prompt templates, reference architectures, and product requirements.
- Coach site teams, document and transfer knowledge, and inform product and platform roadmaps.
Basic qualifications
- Relevant degree in computer science, software engineering, data science, artificial intelligence, engineering, information technology, manufacturing systems, or a related technical discipline.
- Experience delivering AI, data and analytics, Smart Manufacturing, or digital transformation initiatives in manufacturing or supply-chain environments.
- Strong software engineering skills and experience with modern application development frameworks.
- Python or another relevant programming language is desirable but not mandatory.
- Experience with Generative AI, AI agents, prompt engineering, RAG, and AI-assisted development.
- Knowledge of manufacturing or supply-chain operations, business processes, and operational technology.
- Experience working directly with business stakeholders to shape and deliver technology solutions.
- Strong people skills, resilience, continuous improvement mindset, and ability to manage multiple stakeholders.
Listed skills
- Agile methodology, cross-functional teamwork, data analysis, design thinking, DevOps, prioritization, product development research, product roadmapping, project management, ROI, software development, strategy deployment, UX, and UI design.
Ware manufacturing site
The Ware site produces respiratory devices and oral solid dose medicines and launches pipeline medicines in these forms.
Investments in new equipment support delivery of a record number of new products.
Application deadline
- Applications close Monday, November 30, 2026, at close of business.
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