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From the employer's careers site First seen 2 Nov 2026

Senior Forward Deployed Engineer

GSK London Hybrid senior full-time

The employer hasn't listed a salary.

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Description

This role sits in the Chemical Manufacturing & Control (CMC) area of GSK, which focuses on turning validated molecules into reliably manufactured, quality-assured medicines. As a Senior Forward Deployed Engineer, you'll be embedded in a team that uses AI to transform process development globally.

You will build in-silico process models and digital twin capabilities to foster process development of molecules. Your responsibilities include:

  • PoC / PoV / MVP Delivery: Take ownership of high-priority business unit use cases from problem framing through to a working prototype, and form a defensible view on whether each should progress.
  • AI-Native Engineering: Operate AI agent workflows for autonomous prototype delivery, and use AI coding assistants as the default mode of building.
  • Customer Embedding & Handoff: Embed with business unit teams, attend standups, understand the domain, and package proven use cases for the Senior Solutions Engineer.
  • Governance, Standards & Coaching: Begin Code Orange, Responsible AI, and Accountability Report conversations during prototyping, and contribute reusable agents and reference architectures to the organisation's pattern library.

The ideal candidate will have strong full-stack or AI/ML engineering experience, proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar, and experience with process modeling approaches.

You will join a supportive team that values clear communication and practical problem-solving, and have access to learning and development to grow both technical and leadership skills.

Skills

Required

Nice to have

  • Prior experience as a Forward Deployed Engineer at an AI-native company
  • Experience with digital twins, surrogate or foundation models, and platform or fitness models for pharmaceutical drug substance or drug product processes
  • Experience partnering with data analytics, data science, or process science teams
  • Experience in regulated industries (pharma, healthcare, financial services)
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