Lead Gen-AI Engineer

Job Purpose: 

The Lead GenAI Engineer will develop and deploy advanced Generative AI Products, including fine-tuning V/LLM models and implementing (Graph) RAG (Retrieval-Augmented Generation) solutions. This hands-on role requires deep technical expertise and as part of the GenAI team will implement and optimize Gen AI agents for the Global Supply Chain.

Why is this job critical? 

This role ensures the effective use of Generative AI technologies within GSK's Global Supply Chain, designing robust solutions, optimizing performance, and implementing AI governance. The GenAI Engineer is key in delivering efficient, reliable, and secure AI solutions, enhancing operational efficiency and strategic decision-making.

Responsibilities: 

• Own Technical Implementation of Gen AI Capabilities:

  • Quickly prototype scenarios until UX for user testing purposes.

  • Implement state-of-the-art GenAI & agents technologies and best practices.

  • Develop, experiment with, and validate Gen AI applications aligning with business objectives.

  • Embed automated processes (LLMOps).

  • Implement scalable, secure, and cost-effective Gen AI solutions to meet current and future business needs.

  • Prototype and benchmark on the AI/ML stack, LLMOps, and AgentOps frameworks.

  • Troubleshoot AI application issues, working closely with infrastructure teams and application owners.

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

• Collaboration:

  • Identify opportunities to apply the latest advancements in Large Language Models (LLMs) and Agents.

  • Work with our cross-functional team to deliver features in an iterative manner.

  • Educate the organization both from IT and the business perspectives on Generative AI.

• Security and Compliance:

  • Ensure all AI solutions adhere to security best practices and AI governance standards.

• Technical Expertise:

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

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

Desired Qualifications: Education and Experience:

• Higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics, or related field.

• 5+ years in at least 2 AI domains: NLP, NLG, Computer Vision, Machine Learning, etc.

• Hands-on experience with fine-tuning/training LLMs and Graph RAG solutions.

Technical Skills:

• Extensive knowledge of cloud services and tools (Azure & Databricks 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, graphRag, promptflow

• 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 hypotheses through the discovery phase of the project.

• Strong problem-solving abilities.

• Excellent collaboration & communication skills to report back complex findings in a clear, structured manner.

Certifications:

• Relevant certifications in AI and machine learning such as Azure AI Engineer Associate are a plus.

Inclusion & Diversity at GSK:

At GSK, we are dedicated to fostering an inclusive and diverse work environment. We believe that diversity in our workforce drives innovation and growth, and we are committed to providing equal opportunities for all employees and applicants. We strive to create an atmosphere where all individual’s unique perspectives and experiences are valued and respected. All qualified applicants will receive equal consideration for employment without regard to their sex or gender, caste, pregnancy, gender identity/expression, physical and/or mental disability, or any other protected characteristic as per applicable law.

As an employer committed to Diversity and Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.

Please contact our Recruitment Team at pl.recruitment-adjustments@gsk.com to discuss your needs.

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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