Snowflake AI Engineer: Gen AI & MLOps in Production

Accenture; Carmel (IN); On-site; USD 120,000 - 190,000; Full time

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 readiness, and MLOps pipelines to deliver production-ready outcomes, collaborating with business and technical teams.

Travel may be required depending on client needs. The role emphasizes scalable AI/ML solution design, model customization, and delivering high-quality, reliable AI systems in a data-driven, cloud-enabled

Qualifications

• Minimum of 2 years hands-on experience with Snowflake Cortex AI components.
• Minimum of 3 years as ML engineer/scientist deploying models in production at scale.
• Minimum of 3 years applying CS foundations (architecture, systems, programming).
• Minimum of 1 year in distributed computing systems and architecture.
• Minimum of 1 year building AI/ML software for cloud environments.
• Bachelor’s degree or equivalent work experience (12+ years).

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop ML models and scalable data pipelines with DevOps & MLOps.
• Customize DL/Gen AI models for business use cases.
• Research new AI/high-performance compute algorithms and simulations.
• Work with large-scale datasets and data preprocessing for training.
• Implement and maintain data storage/retrieval for models.
• Justify the value of model approaches in business problems.
• Collaborate with cross-functional teams to production integration.

Skills

Snowflake Cortex AI

ML engineering

Distributed computing

Cloud deployment

Education

Bachelor's degree or equivalent

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 readiness, and MLOps pipelines to deliver production-ready outcomes, collaborating with business and technical teams.

Travel may be required depending on client needs. The role emphasizes scalable AI/ML solution design, model customization, and delivering high-quality, reliable AI systems in a data-driven, cloud-enabled