Senior Full Stack AI Engineer

Overview

Senior Forward Deployed Engineer on GSK's Enterprise AI team, embedded with business unit teams to prove AI ideas through PoCs, PoVs and MVPs at a days-to-weeks cadence, then handing proven solutions to the Sr. Solutions Engineer for scale-up.

What you'll do

• Take ownership of high-priority BU use cases from problem framing through to a working prototype, and form a defensible view on whether each should progress.
• Ship first production versions directly for use cases where the path is clear, before the Sr. Solutions Engineer takes them forward to scale.
• Operate AI agent workflows (planning, coding, testing, review, documentation) for autonomous prototype delivery, selecting the right level of automation for each engagement.
• Use AI coding assistants as the default mode of building, providing judgement, course-correction and validation.
• Embed with BU teams, attend standups, understand the domain and prototype against real data and real workflows.
• Package proven use cases for the Sr. Solutions Engineer, including working code, architecture rationale, open risks and scaling concerns.
• Begin Code Orange, Responsible AI and Accountability Report conversations during prototyping.
• Contribute reusable agents, prompt templates and reference architectures to the organisation's pattern library after each engagement.
• Form and defend kill/continue recommendations at the end of each engagement, presenting to BU and Enterprise AI leadership.
• Coach BU engineers on AI-augmented ways of working while embedded.

What you'll need

• 15+ years of full-stack or AI/ML engineering experience, including production deployments.
• Demonstrated ability to take ideas from sketch to working software at speed; startup, lab or innovation-team background is ideal.
• Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar.
• Hands-on experience with GenAI patterns: agents, multi-agent orchestration, RAG, prompt engineering and evaluation.
• Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development.
• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.

Nice to have

• Prior experience as a Forward Deployed Engineer at an AI-native company (Anthropic, Palantir, OpenAI, or similar), or as a Customer Engineer / Solutions Architect at a hyperscaler.
• Experience in regulated industries (pharma, healthcare, financial services) and familiarity with GxP, GDPR and SOX.
• Working knowledge of fine-tuning fundamentals and Model Context Protocol (MCP) integrations.
• Track record of contributing reusable engineering patterns back to a broader team.
• Master's degree/PhD in Mathematics, Statistics, Computer Science or related field is advantageous.

Details

• Location: Bengaluru, Luxor North Tower.