Associate Director GenAI

Job Purpose: 

The Gen AI Associate Director will develop and deploy Generative AI technologies within the Global Supply Chain. This role offers technical oversight, aligns with best practices, and guides Gen AI engineers in implementing AI strategies and optimizing Gen AI agents. The position also focuses on integrating solutions to support business operations, leading innovation, and ensuring ethical AI practices.

Why is this job critical?

This role ensures the effective use of Generative AI technologies within GSC, designing robust solutions, optimizing performance, and implementing AI governance. The Associate Director 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 till UX for user testing purposes

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

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

• Embed automated processes (LLMOps)

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

• Influence the AI/ML stack, LLMOps and AgentOps frameworks

• Lead troubleshooting of AI application issues, working closely with infrastructure teams and application owners.

Leadership and Team Management:

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

• Lead discussions and use quantitative skills to positively influence decision making

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

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

Collaboration and Stakeholder Management:

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

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

• Work closely with application owners, business units, and other stakeholders to understand requirements and translate them into effective AI solutions.

• Facilitate collaboration between teams to troubleshoot and resolve complex issues.

• 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.

Required Qualifications:

Education and Experience:

• Overall 15+ years of experience in IT

• 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 LLMs fine-tuning/training

• Fluency in English

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.

Certifications:

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

Inclusion at GSK:

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- 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 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.

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