Snowflake Advanced AI Solution Lead

Accenture; Austin (TX); On-site; USD 120,000 - 260,000; Full time

Job summary

Accenture is hiring a Snowflake Advanced AI Solution Lead to design, build, and operationalize AI/ML solutions for enterprise clients. You’ll work across data assessment, model customization (Deep Learning, Gen AI, LLMs), and scalable MLOps pipelines to deliver production-ready outcomes.

Role spans evaluation, training, deployment, and collaboration with business and tech teams to drive value and reliability. Travel may be required.

Qualifications

• 2+ years hands-on experience with Snowflake Cortex AI - Cortex Agents, Cortex Analyst, Cortex Search.
• 5+ years of experience as a machine learning engineer or scientist deploying models in production at scale, including monitoring, alerting, and auditing.
• 5+ years of experience in CS theory, architecture, and programming.
• 3+ years of distributed computing systems and architecture including big data and cloud computing.
• 2+ years building and deploying AI/ML software to a cloud environment.

Responsibilities

• Formulate real-world problems into practical, scalable AI/ML solutions.
• Develop and implement ML models and scalable data pipelines with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for various use cases based on data and infrastructure needs.
• Engage in R&D of new AI algorithms, models, and simulations for client needs.
• Work with large-scale datasets and robust data preprocessing for training and production.
• Implement and maintain efficient data storage and retrieval for models and knowledge.

Skills

Snowflake Cortex AI

Machine Learning

Gen AI & LLMs

DevOps & MLOps

Python

TensorFlow

PyTorch

Cloud Platforms

Distributed computing

Education

Bachelor's degree or equivalent

Advanced degree preferred

Tools

Python

TensorFlow

PyTorch

LLM APIs

C++/Java/R

SQL

Cloud tooling (Terraform/Kubernetes)

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 Solution Lead , 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 5 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 5 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
• Minimum of 3 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 2 years 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)

Professional Skills Requirements:

• Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
• Strong client-facing skillsets in a consulting environment
• Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams
• Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation

Bonus Points if you have

• Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..
• Experience working with language models like LLM's APIs and optimizing their usage for specific applications.
• Experience with the following programming languages: Python, C++, Java, R, SQL
• MS or PhD in related field preferred (computer science, engineering, etc.)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted until 09/30/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture (https://www.accenture.com/us-en/careers/local/benefits)

Role Location Annual Salary Range

California $94,400 to $293,800

Colorado $94,400 to $253,800

Connecticut $94,400 to $253,800

District of Columbia $100,500 to $270,300

Illinois $87,400 to $253,800

Maine $80,400 to $216,200

Maryland $94,400 to $253,800

Massachusetts $94,400 to $270,300

Minnesota $94,400 to $253,800

New York $87,400 to $293,800

New Jersey $100,500 to $293,800

Ohio $87,400 to $235,000

Virginia $87,400 to $270,300

Washington $100,500 to $270,300

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