Engineer I, Forward Deployed Engineer

GSK; Bengaluru; In loco; INR 1.500.000 - 2.300.000; Tempo pieno

Descrizione del lavoro

GSK's Enterprise AI team seeks a mid-level Forward Deployed Engineer to prototype AI solutions embedded with BU teams. You’ll work under senior FDEs, turning ideas into working software with AI agents, and ensure clean handoff for scale-up.

Responsibilities include contributing to BU engagements, building AI-native pipelines, and refining patterns from the FDE library while learning from mentors in a fast-paced environment. Bengaluru, India.

Competenze

• At least 5+ years in full-stack or AI/ML engineering with proven prototype-to-software delivery.
• Proficient in Python and at least one of TS/JS/Go; strong analytic and debugging skills.
• Hands-on experience with GenAI patterns, agent orchestration and RAG.

Mansioni

• Contribute to BU use cases by prototyping, demoing and refining solutions under senior FDEs.
• Embed with BU teams to build working AI proofs of concept and serviceable software.
• Operate AI agent workflows and use AI coding assistants as the default development mode.
• Help deliver clean handoff packages, runbooks and documentation for scale-up.

Conoscenze

Full-stack / AI/ML engineering

Python

TypeScript/JavaScript/Go

GenAI patterns

AI coding agents

Formazione

Bachelor's degree in Computer Science or related field

Strumenti

Claude Code

GitHub Copilot

Databricks AI Assistant

GCP for ML

Azure AI

Descrizione del lavoro

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 impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

Inclusion at GSK

As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at [e-mail] to discuss your needs.

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