# Staff/Director, Forward Deployed Engineer at GSK

GSK is hiring a Staff/Director, Forward Deployed Engineer in London, United Kingdom. Level rates it Works on AI ●●●○; you can [apply on GSK](https://jobsbylevel.com/go/6e39366a-2963-4a31-8085-d79e3d452a1e?utm_medium=ai-agent).

AI Level 3, AI centrality 67 out of 100. Remote (UK – London – New Oxford Street).

## Details

- Company: [GSK](https://jobsbylevel.com/companies/gsk)
- AI level: AI Level 3 (score 67 out of 100)
- Location: Remote (UK – London – New Oxford Street)
- Posted: November 11, 2026
- Apply: https://jobsbylevel.com/go/6e39366a-2963-4a31-8085-d79e3d452a1e?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=staff-director-forward-deployed-engineer-at-gsk-8b611f

## Prepare for this job

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## Description

Staff/Director, Forward Deployed Engineer Business Introduction GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centred on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems. Our diverse portfolio consists of vaccines, specialty medicines, and general medicines. Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges. Position Summary GSK’s Enterprise AI team builds AI solutions that prove value fast and scale to production. The Director, Forward Deployed Engineering leads the FDE function — the front of the Enterprise AI delivery pipeline that proves AI ideas with the business through PoCs, PoVs, MVPs and (where appropriate) first production versions, before handing proven solutions off to the 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 Staff role leads the Forward Deployed Engineering function with direct line management of the FDE team (Lead, Senior, and Forward Deployed Engineers, flat reporting structure). The Staff sets FDE strategy and engagement priorities, owns Director-level BU sponsor relationships, and represents Enterprise AI on FDE matters to GSK leadership. The role continues to contribute technically at the frontier of AI-augmented engineering — humans steer, agents execute. Responsibilities FDE Function Leadership Lead the Forward Deployed Engineering function — strategy, structure, hiring, development, and standards. Hire, mentor, and develop the FDE team — creating development paths from G8 through to G5. Set the standards for AI-native engineering practice within the function — agent workflows, prompt and pattern libraries, handoff hygiene. BU Engagement & Strategic Delivery Own relationships with Director and Senior Director-level BU sponsors across business units that bring AI use cases to Enterprise AI. Take on the most strategic FDE engagements personally — the ones that set precedents for the function. Make and defend portfolio-level kill/continue decisions across FDE engagements with BU and Enterprise AI leadership. Cross-Functional Leadership Coordinate with the Solutions Engineering and Operations Engineering functions on the delivery pipeline; represent FDE in Enterprise AI leadership forums. Influence vendor strategy and tooling choices for AI-native engineering practice within Enterprise AI. Governance & Reporting Ensure the FDE function operates within Code Orange, Responsible AI, and Accountability Report governance from the prototype stage onward. Provide regular reporting to Enterprise AI leadership on FDE function performance — engagement pipeline, outcomes, team development, and capacity. Qualifications/Skills Basic Qualifications: Extensive experience in software engineering and AI/ML engineering, with significant time leading senior engineering teams or functions. Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience. Master’s degree in Computer Science or related field is advantageous. Demonstrated experience taking AI ideas from sketch to working software at speed, in customer-facing engineering roles. Strong technical depth in GenAI patterns: agents, multi-agent orchestration, RAG, and evaluation. Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. Experience hiring, mentoring, and developing senior engineering talent. Track record of representing engineering functions to senior business stakeholders.

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