Snowflake Advanced AI Solution Lead
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
Experteer Overview As Snowflake Advanced AI Solution Lead, you design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud and third-party services to deliver production-ready outcomes. You cover the full solution lifecycle-from needs assessment to MLOps pipelines-focusing on scalable data, model optimization, and reliable production systems. You will collaborate with business and technical teams to solve real-world problems and drive value. This role offers exposure to Gen AI, LLMs, and high-performance compute in a dynamic, innovation-driven environment. Compensation / Benefits * 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 business use cases, including edge and HPC * Engage in R&D of new AI/HP compute algorithms and simulations for client problems * Work with large-scale datasets and data preprocessing to ensure high-quality training inputs * Implement and maintain efficient data storage/retrieval for models and knowledge * Justify model approaches in business terms * Collaborate with cross-functional teams to achieve end-to-end production goals Tasks * Minimum 5 years of experience as a machine learning engineer/scientist deploying models in production at scale * Minimum 5 years of experience in distributed computing systems and architecture * Minimum 2 years of experience building and deploying AI/ML software to a cloud environment * Experience with Snowflake Cortex AI - Cortex Agents, Cortex Analyst, Cortex Search * Bachelor’s degree or equivalent work experience * Strong written and verbal communication skills; client-facing consulting experience * Entrepreneurial mindset with curiosity for emergent tech and innovation Key requirements * medical, dental, vision, life, and long-term disability * 401(k) plan * bonus opportunities * paid holidays * paid time off
Requirements
and data preprocessing to ensure high-quality training inputs * Implement and maintain efficient data storage/retrieval for models and knowledge * Justify model approaches in business terms * Collaborate with cross-functional teams to achieve end-to-end production goals Tasks * Minimum 5 years of experience as a machine learning engineer/scientist deploying models in production at scale * Minimum 5 years of experience in distributed computing systems and architecture * Minimum 2 years of experience building and deploying AI/ML software to a cloud environment * Experience with Snowflake Cortex AI - Cortex Agents, Cortex Analyst, Cortex Search * Bachelor’s degree or equivalent work experience * Strong written and verbal communication skills; client-facing consulting experience * Entrepreneurial mindset with curiosity for emergent tech and innovation Key requirements * medical, dental, vision, life, and long-term disability * 401(k) plan * bonus opportunities * paid holidays * aay _ time off
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud
Highest Paying Tech Companies for Developers
What Industries Outside of AI Are Hiring The Most AI Experts?
Navigating the AI Shift