Senior Snowflake AI Solutions Architect

1000 Accenture LLP Company; San Francisco (CA); On-site; USD 94,000 - 294,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Long-term Disability

401(k)

Bonus opportunities

Paid Holidays

Paid Time Off

Job summary

Accenture is seeking a Snowflake Advanced AI Solution Lead in California to design, build, and operationalize AI/ML solutions for enterprise clients. You will blend custom models with cloud services, create scalable data pipelines, and ensure production-ready outcomes.

The role covers the full lifecycle from needs assessment to deployment, including Deep Learning, Gen AI, and LLMs. Travel may be required as projects demand, with focus on delivering value and reliability.

Qualifications

• Minimum 2 years hands-on Snowflake Cortex AI workloads.
• Minimum 5 years ML engineering/science deploying models in production at scale.
• Minimum 5 years applying CS fundamentals including architecture and programming.
• Minimum 3 years distributed computing/big data/cloud infrastructure experience.
• Minimum 2 years building AI/ML software for cloud deployment.
• Bachelor's degree or equivalent work experience (12+ years) or 6+ years for Associate.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and deploy ML models, data pipelines, and MLOps supporting production.
• Customize Deep Learning/Gen AI models for client use cases.
• Research and experiment with new AI algorithms and HPC techniques.
• Work with large-scale data and preprocessing for training/production.

Skills

Snowflake Cortex AI

Python

TensorFlow

PyTorch

LLM APIs

SQL

Cloud & DevOps

C++/Java

Education

Bachelor's degree or equivalent (12 years)

Tools

Azure/AWS/Google Cloud

ML pipelines/MLOps

Job description

Accenture is seeking a Snowflake Advanced AI Solution Lead in California to design, build, and operationalize AI/ML solutions for enterprise clients. You will blend custom models with cloud services, create scalable data pipelines, and ensure production-ready outcomes.

The role covers the full lifecycle from needs assessment to deployment, including Deep Learning, Gen AI, and LLMs. Travel may be required as projects demand, with focus on delivering value and reliability.