Principal AI Engineer

Overview

Principal AI Engineer responsible for the technical design, development and implementation of AI-enabled and automation solutions across GSK's MES Development Team, combining hands-on engineering with technical leadership.

What you'll do

• 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, 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, APIs, automation components and AI-ready knowledge solutions applicable across MES development.
• Apply prompt and context engineering, retrieval/RAG, 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 human oversight, traceability, logging, access controls and exception handling for AI-enabled solutions.
• Apply professional software engineering practices using Python, C#/.NET, SQL, PowerShell, REST APIs, JSON/XML, 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 reusable AI capabilities.
• Integrate AI capabilities with approved MES, engineering, knowledge and enterprise data sources, ensuring secure and controlled access and compliance with Responsible AI, cybersecurity, data privacy, data integrity, GxP, validation and engineering requirements.
• Drive reuse, standardization and continuous improvement of AI engineering practices, components and knowledge across the MES Development Team.
• Use AI coding assistants and agent workflows as the default way of building, testing and documenting, and validate every output before it is committed or released.
• Deliver and support AI solutions across the full lifecycle, including CI/CD, release management, monitoring, incident resolution and operational support, ensuring >99.5% availability and SLA compliance.
• Drive AI-enabled capabilities that improve MES developer productivity, operational efficiency and data-driven decision-making, measured through adoption, user satisfaction, delivery efficiency, incident reduction and realized business value.

What you'll need

• Bachelor's or master's degree in engineering, Computer Science, Information Technology, Automation, Data, Life Sciences or a relevant technical discipline, or equivalent practical experience.
• Relevant technical, AI, cloud, integration, automation, data, validation, cyber security or engineering certifications.
• Minimum 5+ years of hands-on technical engineering experience, including AI/software engineering in complex enterprise or operational technology environments.
• Experience in providing technical leadership for AI solution design, implementation, deployment and adoption, while remaining hands-on in development and problem solving.
• Experience in coordinating cross-functional engineering activities across development, architecture, infrastructure, data, AI/platform teams, vendors and specialist partners.
• Experience in technical troubleshooting, root-cause analysis and solution improvement across AI, software, integration and data layers.
• Experience in assessing technical risks and ensuring security, data integrity, resilience, Responsible AI, compliance and supportability requirements are addressed.
• Experience in coaching developers and supporting adoption of AI-enabled engineering practices, reusable patterns, standards and shared knowledge.
• Experience in supporting technical assurance, validation, audits or regulated-system governance in GxP or comparable controlled environments.
• Experience in collaborating, communicating and organising work effectively across global teams, suppliers and business stakeholders, including influencing decisions and building alignment.

Nice to have

• Experience in communication, facilitation and stakeholder management, including clearly articulating product decisions, priorities and technology constraints.
• Experience in using data, user feedback, AI and automation opportunities to inform product improvements and business outcomes.
• Experience in working in a collaborative, organized and user-focused way, including proficiency in using AI-powered tools to support productivity, decision-making and delivery quality.

Details

• Location: Bengaluru Luxor North Tower.