Enterprise Snowflake AI Engineer: GenAI & MLOps

Accenture; Overland Park (KS); On-site; USD 120,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, vision

Life and disability insurance

401(k) plan

Bonus opportunities

Paid holidays and PTO

Job summary

Accenture is seeking a Snowflake Advanced AI Engineer to design, build, and operationalize AI/ML solutions for enterprise clients. You will combine custom models with cloud services, build scalable data and MLOps pipelines, and ensure reliability of deployed systems.

Travel may be required 0–100% depending on client needs. Minimum experience spans Cortex AI, ML deployment at scale, and strong CS fundamentals, with a Bachelor's or equivalent.

Qualifications

• 2+ years hands-on Snowflake Cortex AI experience across Cortex Agents, Cortex Analyst, Cortex Search.
• 3+ years as ML engineer or scientist deploying models in production at scale.
• 3+ years of CS fundamentals: architecture, system engineering, programming.
• 1+ year in distributed computing systems and cloud environments.
• 1+ year building and deploying AI/ML software to cloud environments.
• Bachelor's degree or equivalent work experience (12 years).

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and deploy ML models and scalable data pipelines with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for business needs.
• Research new AI algorithms and HPC applications for client use.
• Work with large-scale datasets and data preprocessing for quality input.
• Implement data storage/retrieval for models and knowledge.
• Collaborate with business and technical teams to deliver end-to-end projects.

Skills

Communication

Client-facing

Cross-functional

Entrepreneurial mindset

Python

TensorFlow

PyTorch

C++

Java

R

SQL

Model deployment

MLOps

Education

Bachelor's degree or equivalent

Tools

Snowflake Cortex AI

TensorFlow

PyTorch

Job description

Accenture is seeking a Snowflake Advanced AI Engineer to design, build, and operationalize AI/ML solutions for enterprise clients. You will combine custom models with cloud services, build scalable data and MLOps pipelines, and ensure reliability of deployed systems.

Travel may be required 0–100% depending on client needs. Minimum experience spans Cortex AI, ML deployment at scale, and strong CS fundamentals, with a Bachelor's or equivalent.