Snowflake AI Engineer

Salary: $54,300 - 205,800 per year Requirements:

• We need at least 2 years of hands-on experience with Snowflake Cortex AI, including Cortex Agents, Cortex Analyst, and Cortex Search.
• We need at least 3 years of experience as a machine learning engineer or scientist, with production-scale model deployment and monitoring, alerting, automated bug filing, and auditing.
• We need at least 3 years of experience applying computer science foundations, including computer architecture, systems engineering, and programming.
• We need at least 1 year of experience with distributed computing systems and architecture, which may include big data, high-performance computing, engineering simulations, scientific computing, grid and cloud computing, or distributed networks.
• We need at least 1 year of experience building and deploying AI/ML software in a cloud environment.
• We require a bachelors degree or equivalent experience: 12 years of work experience in total, or 6 years if holding an associates degree.
• We value strong written and verbal communication skills, especially the ability to explain complex technical ideas to non-technical stakeholders.
• We need strong client-facing abilities in a consulting environment.
• We look for strong cross-functional collaboration skills across internal and client teams.
• We value an entrepreneurial mindset, curiosity, and a passion for emerging technology and innovation.
• Bonus experience includes proficiency in Python and Python-based AI/ML frameworks, such as TensorFlow and PyTorch.
• Bonus experience includes working with language model APIs and optimizing them for specific applications.
• Bonus experience includes familiarity with programming languages such as Python, C++, Java, R, and SQL.
• An MS or PhD in a related field such as computer science or engineering is preferred.

• We formulate real-world challenges into practical, efficient, and scalable AI and machine learning solutions.
• We develop machine learning algorithms, models, and computational systems, and build scalable data pipelines to support training and production through DevOps and MLOps.
• We customize and apply deep learning and generative AI models for a variety of use cases based on business needs, data availability, and infrastructure requirements, including edge devices and HPC.
• We research and develop new AI and high-performance computing algorithms, models, simulations, and applications to solve complex business problems at client sites.
• We work with large-scale datasets and apply data preprocessing techniques to ensure high-quality training and production inputs.
• We implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools.
• We help demonstrate the business value of model approaches.
• We collaborate with business and technical stakeholders, including users, use case representatives, business owners, engineers, architects, and UI designers, to deliver end-to-end project goals and production integration.
• Travel may be required, with the amount varying from 0% to 100% depending on business need and client requirements.

• AI
• Big Data
• Cloud
• DevOps
• Support
• Java
• Machine Learning
• MLOps
• PyTorch
• Python
• SQL
• Snowflake
• TensorFlow
• UX UI Design
• LLM
• Model Training

More:

We are Accenture, a global professional services company helping leading businesses, governments, and organizations build their digital core, optimize operations, accelerate revenue growth, and enhance citizen services. Our Data & AI organization includes more than 77,000 professionals and is focused on helping clients reinvent with data and AI. We offer a digitally driven, innovation-led environment with opportunities to work on cutting-edge technology and major client projects. This role sits within our Global Agentic Center of Excellence. We also provide a market-competitive benefits package that includes medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. The role location salary range varies by U.S. state, and the posting is anticipated to remain open until 09/30/2026.

last updated 37 week of 2026