Snowflake Advanced AI Engineer,

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

We Are

In the last 30 years, no technology has promised to change everything across a business—until generative AI. Today, AI is the number one driver of business reinvention. And data readiness is one of the most important factors for AI success. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI. With over 77,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization is powered by experienced innovation, strategic investment, exceptional talent, and our power ecosystem.

There is never a typical day at Accenture, but that’s why we love it here! This is an extraordinary chance to create a rewarding career at Accenture Technology. Working in a digitally driven, innovation-led environment where you can help clients shift to the New using leading-edge technologies on some of the coolest projects you can imagine.

Join our Global Agentic Center of Excellence and help lead that change.

You Are:

As a Snowflake Advanced AI Engineer , you will 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 pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.

The Work:

• Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions

• Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps

• Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC

• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites

• Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production

• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools

• Justify the value of model approaches in business problems

• Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here’s what you need

• Minimum of 2 years of hands-on experience across Snowflake Cortex AI - Cortex Agents, Cortex Analyst, Cortex Search

• Minimum of 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing.

• Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming

• Minimum of 1 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks

• Minimum of 1 year of experience in building and deploying AI/ML based software to a cloud environment.

• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)