Senior Snowflake AI Solutions Lead

Accenture; Des Moines (IA); On-site; USD 120,000 - 210,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan

Paid holidays

Paid time off

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 end-to-end model lifecycles, from data assessment to production deployment, integrating Deep Learning, GenAI, and LLMs, with scalable data pipelines and MLOps.

You will collaborate with business and technical teams to deliver value, work across cloud environments, and adapt models for diverse use cases, including edge and HPC contexts.

Qualifications

• Minimum of 2 years hands-on Snowflake Cortex AI experience.
• Minimum of 5 years as ML engineer/scientist deploying models in production.
• Minimum of 5 years in CS foundations, architecture, and programming.
• Minimum of 3 years in distributed computing and big data environments.
• Minimum of 2 years building AI/ML software for cloud environments.
• Bachelor's degree or equivalent work experience.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop models and data pipelines for training and production with DevOps/MLOps.
• Customize DL and Gen AI models for business needs and edge/HPC contexts.
• Research new AI algorithms and high-performance compute techniques.
• Work with large data sets and ensure high-quality training inputs.
• Maintain efficient data storage/retrieval for models and knowledge.
• Articulate business value of model approaches.
• Collaborate across business and technical teams to deploy into production.

Skills

Snowflake Cortex AI

ML Engineer

Computer science fundamentals

Distributed computing

Cloud deployment

Python

C++

SQL

Education

Bachelor's degree or equivalent

Tools

TensorFlow

PyTorch

Docker

Kubernetes

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 end-to-end model lifecycles, from data assessment to production deployment, integrating Deep Learning, GenAI, and LLMs, with scalable data pipelines and MLOps.

You will collaborate with business and technical teams to deliver value, work across cloud environments, and adapt models for diverse use cases, including edge and HPC contexts.