Snowflake AI Solutions Lead for Enterprise Gen AI

Accenture; Raleigh (NC); On-site; USD 120,000 - 240,000; Full time

Job summary

Accenture is seeking a Snowflake Advanced AI Solution Lead to design, build, and operationalize enterprise AI/ML solutions. You will span the full lifecycle—from assessing data needs and selecting models to building scalable data pipelines and ensuring reliability in production.

You will work with Deep Learning, Gen AI, LLMs, and MLOps, collaborating across business and technical teams. Travel 0–100% may be required as needed.

Qualifications

• Minimum of 2 years of hands-on experience across Snowflake Cortex AI.
• Minimum of 5 years as a ML engineer or scientist deploying models in production.
• Minimum of 5 years applying CS fundamentals including architecture and systems.
• Minimum of 3 years in distributed computing systems and architecture.
• Minimum of 2 years building and deploying AI/ML software to a cloud environment.
• Bachelor's degree or equivalent work experience (minimum 12 years).

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML models and data pipelines for training and production with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for various use cases.
• Engage in R&D of AI and HPC algorithms and simulations for client use.
• Work with large-scale datasets and data preprocessing for quality inputs.
• Implement and maintain data storage/retrieval for models and knowledge.
• Justify model approaches in business contexts.
• Collaborate with business and technical teams to deliver end-to-end projects.

Skills

Snowflake Cortex AI

Machine Learning

Communication

Client-facing

Cross-functional

Education

Bachelor's degree or equivalent

Tools

Python

TensorFlow

PyTorch

LLM APIs

C++

Java

Job description

Accenture is seeking a Snowflake Advanced AI Solution Lead to design, build, and operationalize enterprise AI/ML solutions. You will span the full lifecycle—from assessing data needs and selecting models to building scalable data pipelines and ensuring reliability in production.

You will work with Deep Learning, Gen AI, LLMs, and MLOps, collaborating across business and technical teams. Travel 0–100% may be required as needed.