Principal Generative AI engineer

Principal Generative AI Engineer – GSC AIML & Decision Sciences

We are seeking a visionary Principal Generative AI Engineer to integrate our newly formed Generative AI team, with a focus on the Global Supply Chain (GSC). This role requires a proven leader with expertise in delivering complex AI solutions and AI Agents using large language models. As Principal Engineer, you will be driving our overall Generative AI strategy and Roadmap, ensuring we stay at the forefront of innovation in agentic AI.

About the role

Support the creation of a global team of Generative AI specialists to deliver impactful business value throughout GSK Enterprise AI, with a focus on the Global Supply Chain. Ideally, you (or a team you've supervised) will have successfully launched a complex generative AI solution integrating diverse source systems, structured/unstructured/graph/vector stores/graph/RAG, and a user-friendly UX. Experience establishing a robust AgentOps and Responsible AI practice is highly desirable. You will also ensure the team adheres to modern agile software delivery standards. Effective management of budget and internal resources will be critical to achieving GSC's ambitious Gen AI objectives.

Why is this job critical?

This role is critical because you will be the architect of our Generative AI future. You will drive the technical direction, foster innovation, and build a world-class team capable of transforming GSK's operations through cutting-edge AI solutions. Your leadership will be essential in unlocking the potential of Generative AI to improve efficiency, enhance decision-making, and ultimately, contribute to our mission of getting ahead of disease.

About the responsibilities

Strategic Vision & Planning

· Develop and manage our Generative AI platform roadmap and manage our solution space, aligning with business objectives and strategic priorities.

Leadership and Team Management

· Manage the budget of capabilities and solutions, and hire and develop Generative AI talent globally.

· Foster innovation within the team to support a collaborative work environment.

· Contribute to talent development and continuous learning opportunities within the team.

· Lead internal and external developers to deliver on the Generative AI roadmap, providing technical guidance.

Innovation & Technical Expertise

· Stay informed on the latest research and development in the field of Generative AI, and support buy vs build discussions based on informed assessments.

· Provide deep technical expertise in Generative AI technologies and tools.

· Implement state-of-the-art GenAI & Agents technologies and best practices.

· Serve as a subject matter expert for complex technical issues and provide hands-on support.

Collaboration and Stakeholder Management

· Educate technical and business leaders on the potential of Generative AI, and co-create with the business appropriate use-cases that will benefit from Generative AI.

· Collaborate with other AI teams to intake requirements and with central Architecture teams to align on Generative AI platform approvals.

Technical Governance and Excellence

· Create technical standards and blueprints for Generative AI scenarios, ensuring alignment with security, compliance, and ethical considerations.

· Adhere and drive compliance to Responsible AI practices that keep our GenAI Solutions safe and grounded.

· Drive strong software development standards using Devops/LLMops, and promote the development of scalable, maintainable, and well-documented solutions.

About you

Education and Experience

· A higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics, or related quantitative field.

· Experience managing, attracting, and developing technical talent.

· Deep understanding of LLMs fine-tuning and/or training lifecycle (LLMops).

· Fluency in English

· Experience writing and presenting papers, documentation, and presentations to explain work.

Technical Skills

· Extensive knowledge of cloud services and tools (Azure preferred), including Azure Machine Learning, Vertex AI, AI Search, Databricks, Mosaic ML, Genie, Webapps, Azure Service bus Azure DevOps, Azure CLI, Azure AI services, App Insights and Azure OpenAI.

· Extensive knowledge of LLM python libraries: langchain, langGraph, promptflow, semantic kernel, Autogen

· Good Software engineering background, (developing application, API, frontend integration, security best practices, experience with fastAPI, Asyncio is a plus)

· Strong experience with Gen AI model deployment and monitoring (CI/CD, Weight&Biases GitHub pipelines is a plus)

· Advanced understanding of security, compliance, and ethical considerations in AI.

Soft Skills

· Demonstrate a combination of business focus, strong analytical and problem-solving skills and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of the project

· Excellent leadership, communication, and collaboration skills.

· Strong problem-solving and decision-making abilities.

· Ability to manage multiple projects and priorities in a dynamic environment.

· Proven track record of driving innovation and continuous improvement.

· Excellent written and communications skills to report back complex findings in a clear, structured manner.

#LI-GSK

If you have a disability and require assistance during the course of the selection process, you will have the opportunity to let us know what specific assistance you require in order to make suitable arrangements.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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