# Principal AI Engineer at GSK

GSK is hiring a Principal AI Engineer for a remote role open to applicants in India. Level rates it Builds AI ●●●●; you can [apply on GSK](https://jobsbylevel.com/go/4c701b49-0b00-4a87-bc42-38c6455db63f?utm_medium=ai-agent).

AI Level 4, AI centrality 90 out of 100. Remote (Bengaluru Luxor North Tower).

## Details

- Company: [GSK](https://jobsbylevel.com/companies/gsk)
- AI level: AI Level 4 (score 90 out of 100)
- Location: Remote (Bengaluru Luxor North Tower)
- Posted: October 29, 2026
- Apply: https://jobsbylevel.com/go/4c701b49-0b00-4a87-bc42-38c6455db63f?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-ai-engineer-at-gsk-dd72ff

## Prepare for this job

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## Description

About the Team: Enterprise Systems is the backbone of GSK’s internal operations in Digital & Tech, enabling GSK Global Functions teams such as Finance, Procurement, HR, Legal, Compliance, WREF, CGA and Corporate Secretariat to run seamlessly. This team designs and delivers cutting-edge digital platforms that power critical processes, ensuring efficiency, compliance, and scalability across the enterprise. Enterprise Systems Management & Business Operations delivers digital solutions that support Enterprise Systems running as a high-performing organisation. This team drives financial discipline, operational rigour and strategic alignment across the ES portfolio that safeguard GSK’s integrity and reputation globally. By joining this team, you’ll help shape systems that support thousands of employees worldwide, driving innovation and reliability in the tools that keep GSK moving forward. Job Purpose: The Principal AI Engineer is responsible for the technical design, development and implementation of AI-enabled and automation solutions across GSK’s MES (Manufacturing Execution System) Development Team. The role combines hands-on AI/software engineering with technical leadership to deliver reusable agents, automation components, integrations and engineering tools. Working closely with the MES Automation Manager, the role translates the Global MES AI and automation strategy into practical solutions and drives the technical adoption of AI within the development team. The job holder coordinates AI-related engineering activities, guides and coaches developers, promotes common AI engineering practices and remains hands-on in prototyping, scripting, integration and solution development. The role ensures that AI-enabled solutions are reliable, secure, reusable, measurable and appropriately governed, including evaluation, human oversight, monitoring and traceability. The MES Automation Manager retains accountability for AI/automation strategy, governance and value realization, while the Principal AI Engineer provides the technical leadership and engineering capability required to implement and scale AI within MES Development Team. Drives the delivery and operational support of AI solutions across their lifecycle, ensuring reliable, secure, and scalable capabilities that enhance MES developer productivity, operational efficiency, and data-driven decision-making while delivering measurable business value and user adoption. Key Responsibilities: Design, develop, test and implement AI-enabled solutions, agents and automation capabilities supporting the MES Development Team. Work with the MES Automation Manager to translate the MES AI and automation strategy into prototypes, (Minimum Viable Product) MVPs and scalable production solutions. Lead the technical implementation and adoption of AI within the development team, coordinating AI engineering activities and coaching developers in AI-enabled ways of working. Develop reusable AI agents, services, integrations, (Application Programming Interfaces) APIs, automation components and AI-ready knowledge solutions applicable across MES development. Apply prompt and context engineering, retrieval/RAG (Retrieval-Augmented Generation), agent orchestration and tool integration to build reliable and effective AI solutions. Define and execute evaluation, testing, acceptance criteria and monitoring for AI-generated outputs and agent behavior, and implement appropriate human oversight, traceability, logging, access controls and exception handling for AI-enabled solutions. Apply professional software engineering practices using technologies such as Python, C#/.NET, SQL, PowerShell, (Representational State Transfer) REST APIs, JSON (JavaScript Object Notation)/XML (eXtensible Markup Language), Git/GitHub, automated testing and code review. Collaborate with Architecture, Product, MES Engineering, Infrastructure and other GSK AI and technology teams to align solutions with enterprise platforms, standards and

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