Site Forward Deployed Engineer

Role overview

Key responsibilities

• Embed with site teams to understand operational challenges, workflows, data, constraints, and high-value opportunities.
• Frame measurable use cases and build PoCs, PoVs, and MVPs using real site data and systems, with delivery measured in days or weeks.
• Deliver hands-on engineering across AI, data, integration, applications, and automation; use AI-assisted and agent-based workflows where appropriate.
• Evaluate business value, technical feasibility, adoption, risk, and scalability to recommend whether to continue, adapt, or stop work.
• Address governance from the outset, including Code Orange, Responsible AI, cybersecurity, data governance, privacy, GxP, and architecture.
• Transition proven solutions to product teams for industrialization, scale, operations, and lifecycle ownership.
• Resolve barriers across legacy systems, fragmented data, integration, security, compliance, and local processes.
• Create reusable agents, integration patterns, prompt templates, reference architectures, and product requirements from site learning.
• 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, and/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, not mandatory.
• Experience with Generative AI, AI agents, prompt engineering, RAG, and AI-assisted development approaches.
• Knowledge of manufacturing or supply-chain operations, business processes, and operational technology environments.
• Experience working directly with business stakeholders to identify, shape, and deliver technology solutions.

About you

• Strong experience designing, developing, and validating AI-enabled digital solutions and Smart Manufacturing capabilities in complex environments.
• Strong technical knowledge from work in a highly regulated industry.
• Strong people skills, resilience under pressure, a continuous-improvement mindset, and ability to manage multiple stakeholders.

Workplace and site

• The role is based on-site at GSK's Barnard Castle manufacturing site in County Durham, UK.
• The site has invested in Industry 4.0 equipment to support new product introductions and increased production volumes.

Application deadline

• Applications close Monday, 30 November 2026.

About GSK