Director, Forward Deployed Engineering

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.

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.

Key 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.

Required Functional Experience:

• At least 18+ years of experience in software engineering and AI/ML engineering, with significant time leading senior engineering teams or functions.
• 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.