Senior Snowflake AI Engineer: Gen AI & MLOps at Scale

Accenture; Raleigh (NC); On-site; USD 120,000 - 210,000; Full time

Job summary

Accenture seeks a Snowflake Advanced AI Engineer to design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud services to deliver production-ready outcomes. You will own the full solution lifecycle from data assessment to deployment, focusing on Cortex AI, Gen AI, and large language models.

The role involves building scalable data pipelines, applying deep learning techniques, and collaborating with business and technical teams to ensure value

Qualifications

• Minimum 2 years hands-on Snowflake Cortex AI experience.
• Minimum 3 years as ML engineer/scientist deploying models in production at scale.
• Strong foundations in computer science, architecture, and programming.
• 1+ years distributed computing systems experience; big data, HPC, or cloud.
• 1+ year building AI/ML software for cloud deployment.
• Bachelor's degree or equivalent work experience (12 years).

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop models and scalable data pipelines with DevOps/MLOps.
• Customize Deep Learning and Gen AI models for business needs.
• Research new AI algorithms and apply them to client problems.
• Work with large-scale datasets and preprocess data for training.
• Implement data storage/retrieval for models and knowledge.
• Justify model approaches to business problems.
• Collaborate with business and technical teams to productionize solutions.

Skills

Snowflake Cortex AI

ML Engineer/Scientist

Distributed computing

Cloud/MLOps

Python

Gen AI/LLM

Programming

Education

Bachelor's degree or equivalent

Tools

TensorFlow

PyTorch

SQL

Python

Job description

Accenture seeks a Snowflake Advanced AI Engineer to design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud services to deliver production-ready outcomes. You will own the full solution lifecycle from data assessment to deployment, focusing on Cortex AI, Gen AI, and large language models.

The role involves building scalable data pipelines, applying deep learning techniques, and collaborating with business and technical teams to ensure value