# Engineer I, Forward Deployed Engineer at GSK

GSK is hiring an Engineer I, Forward Deployed Engineer. Level rates it Works on AI ●●●○; you can [apply on GSK](https://jobsbylevel.com/go/b2182160-798d-476d-980d-7ee32b0d9a75?utm_medium=ai-agent).

AI Level 3, AI centrality 66 out of 100. Bengaluru Luxor North Tower.

## Details

- Company: [GSK](https://jobsbylevel.com/companies/gsk)
- AI level: AI Level 3 (score 66 out of 100)
- Location: Bengaluru Luxor North Tower
- Posted: November 4, 2026
- Apply: https://jobsbylevel.com/go/b2182160-798d-476d-980d-7ee32b0d9a75?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=engineer-i-forward-deployed-engineer-at-gsk-db27c3

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/engineer-i-forward-deployed-engineer-at-gsk-db27c3

## Description

About the Role: 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: FDE Engagement Contribution 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. AI-Native Engineering 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. Delivery & Handoff 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. Governance & Learning 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 Skills AI Frameworks, Computer Programming, Deep Learning, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to

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Source: https://jobsbylevel.com/jobs/engineer-i-forward-deployed-engineer-at-gsk-db27c3

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