Forward Deployed Engineer I

Job description:

GSK's Enterprise AI team builds AI solutions that prove value fast and scale to production. Forward Deployed Engineers are the builders at the front of the delivery pipeline - embedded with business unit teams, prototyping AI ideas at a days-to-weeks cadence and handing proven solutions off cleanly for scale-up.

The Engineer-I is a mid-level individual contributor in the FDE team. This role contributes to FDE engagements under the direction of more senior FDEs, learning the practice through hands-on work. Most prototyping is AI-augmented: AI coding assistants and multi-agent workflows handle the bulk of routine code, and learning to use them fluently is part of the role. The FDE does not carry use cases to long-term operations - clean handoff is part of the job.

Why This Role Exists:

Enterprise AI needs engineers who can contribute to embedded prototype work alongside domain experts. The role builds the pipeline of senior FDE capability the function needs as its portfolio grows.

• Contributes to prototyping under the direction of Lead and Senior FDEs - shipping working AI proofs of concept with BU teams.
• Builds AI-native fluency using AI coding assistants and multi-agent workflows as the default mode of work.
• Learns the FDE practice from more senior team members through hands-on engagements and direct mentorship.

Key Responsibilities:

• Contribute to BU use case engagements - prototyping, demoing, refining - under the direction of more senior FDEs.
• Embed with BU teams alongside the Lead or Senior FDE, building working relationships with BU engineers and product owners.
• Operate AI agent workflows under guidance - contributing to multi-agent prototype delivery.
• Use AI coding assistants as the default mode of building; develop genuine fluency with Claude Code, GitHub Copilot, and Databricks AI Assistant.
• Contribute to clean handoff packages for the Solutions Engineer - documentation, runbooks, and working software.
• Apply existing patterns from the FDE pattern library; contribute small refinements to patterns as experience develops.
• Support Code Orange, Responsible AI, and Accountability Report conversations during prototyping alongside more senior FDEs.
• Actively learn the FDE practice from more senior team members; seek feedback and apply it rapidly.

Required Experience:

• At least 5+ years of full-stack or AI/ML engineering experience, with demonstrated ability to take ideas from sketch to working software.
• Working proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar.
• Hands-on experience with GenAI patterns: agents, multi-agent orchestration, RAG, and prompt engineering.
• Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development.

Preferred Experience:

• Customer-facing engineering work - startup, lab, or innovation-team background.
• Familiarity with regulated industry constraints.
• Contribution to reusable engineering patterns in a previous team.

Education:

• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience