Snowflake Advanced AI Solution Lead

We are at the forefront of generative AI, the number one driver of business reinvention today. Data readiness is critical for AI success, and Accenture is leading the charge with a clear strategy to help clients optimize and reinvent their business using data and AI. With over 77,000 professionals dedicated to Data & AI, we combine experienced innovation, strategic investment, exceptional talent, and a powerful ecosystem to deliver impactful solutions.

About the role

This is an extraordinary opportunity to create a rewarding career at Accenture Technology. You’ll work in a digitally driven, innovation-led environment, helping clients shift to the future using leading-edge technologies on cutting-edge projects. Join our Global Agentic Center of Excellence and lead transformative change as a Snowflake Advanced AI Solution Lead.

Responsibilities

• Design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes.
• Assess client needs and data, select and customize models (including Deep Learning, Generative AI, and Large Language Models), and design scalable data and MLOps/LLMOps pipelines for training and production.
• Ensure the quality, value, and reliability of deployed AI systems.
• Formulate real-world problems into practical, efficient, and scalable AI and machine learning solutions.
• Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps and MLOps.
• Customize and apply Deep Learning and Generative AI models for various use cases based on business needs, data availability, system, and infrastructure requirements—including edge devices and HPC.
• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations to solve complex business problems at client sites.
• Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production.