Senior Snowflake AI & GenAI Solutions Lead

Accenture; New York (NY); On-site; USD 87,000 - 294,000; Full time

Job summary

Accenture is seeking a Snowflake Advanced AI Solution Lead to design, build, and operationalize AI/ML solutions for enterprise clients. You will manage the full solution lifecycle from data assessment to production deployment, including Deep Learning, Gen AI, and LLMs, with scalable data pipelines and MLOps practices.

You will work with cross-functional teams across business and technical sides to deliver end-to-end projects, while traveling as needed to client sites.

Qualifications

• Minimum 2 years hands-on Snowflake Cortex AI experience (Cortex Agents, Cortex Analyst, Cortex Search).
• Minimum 5 years as a machine learning engineer/scientist deploying models in production at scale.
• Minimum 5 years applying theoretical CS foundations including system architecture and programming.
• Minimum 3 years in distributed computing systems and high performance compute.
• Minimum 2 years building and deploying AI/ML software to cloud environments.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML models, data pipelines, and DevOps/MLOps practices.
• Customize Deep Learning and Gen AI models for business use cases.
• Research new AI algorithms and high-performance compute techniques for client solutions.
• Work with large datasets and data preprocessing to ensure high-quality training input.
• Maintain efficient data storage and retrieval for models and knowledge assets.
• Justify model approaches in business terms.
• Collaborate with cross-functional teams to deliver end-to-end production deployments.

Skills

Snowflake Cortex AI

Machine learning engineer

Cloud & MLOps

Education

Bachelor's degree or equivalent

Tools

Python

TensorFlow

PyTorch

C++

Java

R

SQL

Job description

Accenture is seeking a Snowflake Advanced AI Solution Lead to design, build, and operationalize AI/ML solutions for enterprise clients. You will manage the full solution lifecycle from data assessment to production deployment, including Deep Learning, Gen AI, and LLMs, with scalable data pipelines and MLOps practices.

You will work with cross-functional teams across business and technical sides to deliver end-to-end projects, while traveling as needed to client sites.