Snowflake Advanced AI Engineer
$70k - $206k • Remote • San Francisco, 415 Mission Street, Corp
Posted 1d ago
Job Location
San Francisco, 415 Mission Street, Corp
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
Accenture is seeking an Advanced AI Engineer to design, build, and operationalize AI and machine learning solutions for enterprise clients. This role involves combining custom models with cloud and third-party AI services to deliver production-ready outcomes. You will manage the full solution lifecycle, from assessing client needs and data to selecting and customizing models, designing scalable data and MLOps/LLMOps pipelines, and ensuring the quality and reliability of deployed systems. This is an opportunity to work in a digitally driven, innovation-led environment on cutting-edge projects within our Global Agentic Center of Excellence.
Responsibilities
- 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 using DevOps & MLOps practices.
- Customize and apply Deep Learning and Generative AI models for various use cases based on business needs, data availability, and system requirements.
- Engage in research and development of new AI and high-performance compute algorithms, models, and simulations.
- Work with large-scale datasets and utilize data preprocessing techniques for high-quality input.
- Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge.
- Justify the value of model approaches in business problems.
- Collaborate with business and technical teams to achieve end-to-end project goals and production integration.
Requirements
- Minimum of 2 years of hands-on experience with 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.
- Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming.
- Minimum of 1 year of experience in distributed computing systems and architecture (big data, HPC, cloud computing, etc.).
- 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.
Benefits
- Medical, dental, vision, life, and long-term disability coverage
- 401(k) plan
- Bonus opportunities
- Paid holidays
- Paid time off