Senior Snowflake GenAI Engineer

Accenture; Boston (MA); On-site; USD 95,000 - 195,000; Full time

Job summary

Accenture is seeking a Snowflake Advanced AI Engineer in Boston to design, build, and operationalize AI/ML solutions for enterprise clients. The role covers model selection, data assessment, and scalable MLOps pipelines for training and production, including Deep Learning and Generative AI.

Travel may be required. Qualified candidates will have 3+ years in ML/AI production, 2+ years with Snowflake Cortex AI, and strong cloud/DevOps skills.

Qualifications

• Minimum of 2 years hands‑on experience across Snowflake Cortex AI tools and Cortex components
• Minimum of 3 years experience as a machine learning engineer or scientist deploying models in production at scale
• Minimum of 3 years experience in computer science foundations in programming and systems
• Minimum of 1 year experience with distributed computing systems and cloud computing
• Minimum of 1 year building and deploying AI/ML software to a cloud environment
• Bachelor’s degree or equivalent work experience (min 12 years) or 6 years with Associate’s degree

Responsibilities

• Formulate real‑world problems into scalable AI/ML solutions
• Develop and implement machine learning models and scalable data pipelines with DevOps & MLOps
• Customize Deep Learning and Gen AI models for business use cases
• Engage in R&D of AI algorithms and high‑performance compute models
• Work with large datasets and perform data preprocessing for training/production
• Implement and maintain efficient data storage/retrieval for models
• Justify model approaches in business terms
• Collaborate with business and technical teams to achieve end‑to‑end goals

Skills

Snowflake Cortex AI

Cortex Agents

ML in prod

MLOps

Gen AI

LLMs

Python

PyTorch

TensorFlow

Cloud computing

Communication

Education

Bachelor's degree or equivalent

Tools

TensorFlow

PyTorch

C++

Java

SQL

Job description

Accenture is seeking a Snowflake Advanced AI Engineer in Boston to design, build, and operationalize AI/ML solutions for enterprise clients. The role covers model selection, data assessment, and scalable MLOps pipelines for training and production, including Deep Learning and Generative AI.

Travel may be required. Qualified candidates will have 3+ years in ML/AI production, 2+ years with Snowflake Cortex AI, and strong cloud/DevOps skills.