Senior Snowflake AI Solutions Lead

Accenture; Arlington (VA); On-site; USD 87,000 - 270,000; Full time

Job summary

Accenture is seeking a Snowflake Advanced AI Solution Lead to design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes.

Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps

Qualifications

• Minimum of 5 years of experience as a machine learning engineer or scientist deploying models in production at scale.
• Minimum of 2 years hands-on experience with Snowflake Cortex AI – Cortex Agents, Cortex Analyst, Cortex Search.
• Experience in distributed computing, big data, HPC, and cloud deployments.
• Bachelor’s degree or equivalent; advanced degree preferred.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop ML models, data pipelines, and MLOps/LLMOps for training and production.
• Customize Deep Learning and Gen AI models for business use cases.
• Collaborate with cross-functional teams to deliver end-to-end projects.

Skills

communication skills

client-facing

cross-functional collaboration

entrepreneurial mindset

data & AI understanding

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

Tools

Python

TensorFlow

PyTorch

C++

Java

SQL

Job description

Accenture is seeking a Snowflake Advanced AI Solution Lead to design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes.

Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps