Senior, Forward Deployed Engineer; Digital Twin & Optimization

About GSK Enterprise AI Enterprise AI is GSK’s centre of gravity for applied artificial intelligence. We pair forward deployed engineers and full-stack engineers with scientific, clinical, and business teams to build AI products that get used — not pilots that get archived. We work fast, ship in production, and measure ourselves on outcomes that matter to patients. GSK is a global biopharma company with a purpose to unite science, technology, and talent to get ahead of disease together.

We are committed to building a diverse and inclusive team — we welcome candidates from all backgrounds and underrepresented groups in technology, science, and pharma.

GSK’s Enterprise AI team builds AI solutions that prove value fast and scale to production. The Forward Deployed Engineer (FDE) is the engineer GSK sends in to find out whether an AI idea will work — embedded with business unit (BU) teams, proving ideas through proofs of concept (PoCs), proofs of value (PoVs), and minimum viable products (MVPs) at a days-to-weeks cadence, then handing the proven solution off to the Sr.

Solutions Engineer for scale‑up. The pattern is proven by AI‑native companies — Anthropic, Palantir, OpenAI — and this role brings that model to GSK. This specific role sites in the Chemical Manufacturing & Control (CMC) area. This is the GSK function that turns a validated molecule into a reliably manufactured, quality‑assured medicine; its mission is to get safe, effective, consistently manufactured medicines to patients, faster.

Its current mission is to double New Product Introductions (NPIs). As a Senior Forward Deployed Engineer, you’ll be embedded in a team shaping how AI transforms GSK’s process development around the world. Most prototyping work is AI‑augmented: AI coding assistants and multi‑agent workflows handle the bulk of routine coding, freeing the FDE to focus on framing, judgement, and validation. The role works directly inside the customer’s business and emerges with working software and a defensible value hypothesis, not slideware.

The FDE does not carry use cases through to long‑term operations and partner with the Sr. Solutions Engineer is part of the role. This role will build in‑silico process models and digital twin capabilities to foster the process development of molecules. You will work on foundation models, platform fitness models and tech transfer twins, plus scenario planning and scheduling optimization.

You will still build models yourself, with a platform mindset: platform models and end‑to‑end solutions, not point solutions. Process modelers remain the process experts and co‑own the models. You bring the AI modeling and engineering that makes building, deploying and using models 10x more efficient. You bring deep, hands‑on AI/engineering expertise and the judgement to turn ambiguous technical problems into shipped, production‑grade systems, while mentoring the engineers around you.

• PoC / PoV / MVP Delivery
  • Take ownership of high‑priority BU use cases from problem framing through to a working prototype, at days‑to‑weeks cadence, and form a defensible view on whether each should progress.
  • Ship first production versions directly for use cases where the path is clear — before the Sr. Solutions Engineer takes them forward to scale.
• AI‑Native Engineering
  • Operate AI agent workflows (planning, coding, testing, review, documentation) for autonomous prototype delivery — selecting the right level of automation for each engagement.
  • Use AI coding assistants as the default mode of building; provide judgement, course correction, and validation.
• Customer Embedding & Handoff
  • Embed with BU teams — attend standups,…