16h ago
New

Principal AI Engineer

Bengaluru Luxor North Towerlead
Machine Learning EngineerData
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Quick Summary

Key Responsibilities

Design, develop, test and implement AI-enabled solutions, agents and automation capabilities supporting the MES Development Team.

Technical Tools
Machine Learning EngineerData

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.

Responsibilities

~2 min read
  • →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 reusable AI capabilities. 
  • →Integrate AI capabilities with approved MES, engineering, knowledge and enterprise data sources, ensuring secure and controlled access, and ensure AI solutions comply with applicable Responsible AI, cybersecurity, data privacy, data integrity, (Good Practice ) 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 validates every output before it is committed or released. 
  • →Deliver and support AI solutions across the full lifecycle, including (Continuous Integration / Continuous Deployment) CI/CD, release management, monitoring, incident resolution, and operational support, ensuring >99.5% availability, (Service Level Agreement) SLA compliance, and solution reliability. Drive AI-enabled capabilities that improve MES developer productivity, operational efficiency, and data-driven decision-making, with success measured through adoption, user satisfaction, delivery efficiency, incident reduction, and realized business value. 

Requirements

~2 min read
  • 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.
  • 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.|
A/B Testing, Accessibility Standards, Concept Development, Customer Journey Mapping, Design Systems, Design Thinking, Information Architectures, Persona Creation, Problem Framing, Responsive UI, Storytelling, Usability Testing, User Interface (UI) Design, User Research, Wireframing

 

 

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.

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 IN.recruitment-adjustments@gsk.com to discuss your needs.

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

It has come to our attention that the names of GlaxoSmithKline or GSK or our group companies are being used in connection with bogus job advertisements or through unsolicited emails asking candidates to make some payments for recruitment opportunities and interview. Please be advised that such advertisements and emails are not connected with the GlaxoSmithKline group in any way.

If you come across unsolicited email from email addresses not ending in gsk.com or job advertisements which state that you should contact an email address that does not end in “gsk.com”, you should disregard the same and inform us by emailing askus@gsk.com, so that we can confirm to you if the job is genuine.

 

Location & Eligibility

Where is the job
Bengaluru Luxor North Tower
On-site at the office
Who can apply
Same as job location

About this job

Posted
Today
Employer
has 1,827 open jobs on Jobera in 5 countries.

Listing Details

Posted
October 29, 2026
First seen
October 29, 2026
Last seen
October 29, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
56%
Scored at
October 29, 2026

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Principal AI Engineer