Senior Snowflake AI Engineer — GenAI & MLOps Leader

Accenture; New York (NY); On-site; USD 66,000 - 206,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k)

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture in New York seeks a Snowflake Advanced AI Engineer to design, build, and deploy AI/ML solutions for enterprise clients. You will integrate custom models with cloud services, develop scalable data pipelines with MLOps, and ensure production reliability across the full lifecycle.

You will work with Cortex AI, Gen AI, and LLMs, building training pipelines, handling large datasets, and collaborating with client teams and engineers to deliver production-ready outcomes.

Qualifications

• 2+ years hands-on Snowflake Cortex AI experience (Cortex Agents, Cortex Analyst, Cortex Search).
• 3+ years as ML engineer/scientist deploying models at scale in production.
• 3+ years computer science foundations including architecture and programming.
• 1+ year distributed computing and cloud engineering experience.
• 1+ year building AI/ML software for cloud environments.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML models and data pipelines for training and production with DevOps & MLOps.
• Customize DL and Gen AI models for business use cases.
• Research new AI/HPC algorithms and apply them to client problems.
• Handle large datasets and ensure high-quality training inputs.
• Maintain efficient data storage and retrieval for models and knowledge.

Skills

Snowflake Cortex AI

Python

LLM APIs

Distributed computing

Client-facing communication

Education

Bachelor's degree or equivalent

MS or PhD preferred

Tools

TensorFlow

PyTorch

Job description

Accenture in New York seeks a Snowflake Advanced AI Engineer to design, build, and deploy AI/ML solutions for enterprise clients. You will integrate custom models with cloud services, develop scalable data pipelines with MLOps, and ensure production reliability across the full lifecycle.

You will work with Cortex AI, Gen AI, and LLMs, building training pipelines, handling large datasets, and collaborating with client teams and engineers to deliver production-ready outcomes.