Principal AI Engineer
Administrative Campus, United States
USD 155K-195K (estimate) Senior-level Full Time
Tasks
- Assist with prompt design and query generation frameworks
- Build and validate AI application prototypes
- Build conversational interfaces for governed enterprise data
- Design and maintain semantic data models
- Develop natural language to SQL solutions
- Document system architecture and design decisions
- Establish architectural patterns for LLMs with structured data
- Evaluate emerging AI technologies and Snowflake capabilities
- Lead LLM enabled analytics using Snowflake and Cortex AI features
- Provide technical guidance and mentorship
- Support standards for responsible secure AI usage
- Transition prototypes into production-ready solutions
Perks/Benefits
- Career mobility
- Dental insurance
- Employee assistance program
- Employee discounts
- Health insurance
- Life insurance
- Mileage reimbursement
- Ongoing training
- Paid time off
- Retirement plan
- Vision insurance
Skills/Tech-stack
AWS | Azure | Cloud Computing | Cloud platform | Context Management | Cortex AI | Data Governance | Data Modeling | Data Warehouse | Data Warehouse Architecture | Google Cloud | Google Cloud Platform | Grounding techniques | Information Retrieval | Language Models | Language Processing | Large Language Models | Natural Language | Natural Language Processing | Prompt engineering | Python | SQL | Semantic data | Semantic data modeling | Snowflake | Warehouse Architecture
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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