Gen AI & MLOps Engineer — Snowflake Cortex

Accenture; Oklahoma City (OK); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Paid holidays and paid time off

Job summary

Accenture is seeking a Snowflake Advanced AI Engineer to design, build, and operationalize AI/ML solutions for enterprise clients. You will work across model selection, data prep, MLOps pipelines, and production deployment to deliver value at scale.

The role requires 2+ years in Snowflake Cortex AI and 3+ years in ML engineering, with strong collaboration across business and technical teams. Travel may be required.

Qualifications

• Minimum 2 years with Snowflake Cortex AI—Cortex Agents, Cortex Analyst, Cortex Search.
• Minimum 3 years as ML engineer/scientist deploying models at scale.
• Minimum 3 years in CS foundations: architecture, systems, programming.
• Minimum 1 year in distributed computing and cloud.
• Minimum 1 year deploying AI/ML in a cloud environment.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop ML algorithms, data pipelines for training and production with DevOps & MLOps.
• Customize DL/Gen AI models for business needs and edge/HPC contexts.
• Research new AI and HPC algorithms for client applications.
• Work with large-scale datasets and ensure high-quality training inputs.
• Implement and maintain data storage/retrieval for models and knowledge.
• Justify model approaches in business terms.
• Collaborate with business and technical teams to deploy to production.

Skills

Snowflake Cortex AI

Machine Learning

Distributed computing

Cross-functional collaboration

Client-facing skills

Education

Bachelor's degree or equivalent

Tools

Python

C++

Java

R

SQL

Job description

Accenture is seeking a Snowflake Advanced AI Engineer to design, build, and operationalize AI/ML solutions for enterprise clients. You will work across model selection, data prep, MLOps pipelines, and production deployment to deliver value at scale.

The role requires 2+ years in Snowflake Cortex AI and 3+ years in ML engineering, with strong collaboration across business and technical teams. Travel may be required.