Snowflake AI Engineer - Scale Gen AI & MLOps in Production

Accenture; Walnut Creek (CA); On-site; USD 70,000 - 206,000; Full time

Job summary

Accenture seeks a Snowflake Advanced AI Engineer to design, build, and operationalize AI/ML solutions for enterprise clients in California. You will develop scalable data pipelines, customize DL/Gen AI models, and deploy end-to-end ML systems with MLOps.

Travel may be required; strong CS foundations and multi-cloud experience are expected. Ideal candidates have hands-on Snowflake Cortex AI experience, 3+ years in ML/DL and familiarity with LLM APIs, TensorFlow, and PyTorch.

Qualifications

• Minimum 2 years hands-on Snowflake Cortex AI experience.
• Minimum 3 years as ML engineer/scientist deploying models in production.
• Minimum 3 years studying CS fundamentals and system design.
• Minimum 1 year distributed computing/big data/HPC experience.
• Minimum 1 year deploying AI/ML software to cloud environments.
• Bachelor's degree or equivalent (12 years) work experience.

Responsibilities

• Formulate real-world AI/ML problems into scalable solutions.
• Develop and implement ML models and scalable data pipelines with MLOps.
• Customize Deep Learning and Gen AI models for business needs.
• Research new AI algorithms and high-performance compute techniques.
• Work with large datasets and preprocess for training/production.
• Maintain efficient storage/retrieval for models and knowledge.
• Justify model approaches in business terms.
• Collaborate with diverse teams to deliver end-to-end projects.

Skills

Snowflake Cortex AI

ML production deployment

Strong communication

Client-facing

Cross-functional collaboration

Python

LLM APIs

Entrepreneurial mindset

Education

Bachelor's degree or equivalent

MS or PhD preferred

Tools

TensorFlow

PyTorch

Job description

Accenture seeks a Snowflake Advanced AI Engineer to design, build, and operationalize AI/ML solutions for enterprise clients in California. You will develop scalable data pipelines, customize DL/Gen AI models, and deploy end-to-end ML systems with MLOps.

Travel may be required; strong CS foundations and multi-cloud experience are expected. Ideal candidates have hands-on Snowflake Cortex AI experience, 3+ years in ML/DL and familiarity with LLM APIs, TensorFlow, and PyTorch.