AI Solutions Engineer
Tasks
- Apply data governance and RBAC to people data
- Build AI agents APIs and applications
- Contribute to Python codebase dbt models and Snowflake infrastructure
- Deploy and maintain AI systems in production
- Design architecture and containerization for AI services
- Diagnose and fix production incidents
- Implement CI CD monitoring and reliability fixes
- Implement fallback chains and circuit breakers
- Integrate AI outputs with Workday Notion and case management tools
- Validate structured LLM outputs
- Work with stakeholders to scope problems and define requirements
Perks/Benefits
- Dental insurance
- Employee stock purchase plan
- Flexible spending accounts
- Health insurance coverage
- Paid time off
- Remote work flexibility
- Vision insurance
Skills/Tech-stack
APIs | Authentication | CI/CD | Circuit Breakers | Containers | DBT | Data Governance | Docker | Git | GitHub | LLM | Language Models | Large Language Models | Monitoring | Networking | Notion | Python | RBAC | Secrets management | Snowflake | Structured Output | Testing | Workday
Education
N/A
Roles
AI | AI Solutions | AI Solutions Engineer | Engineer | Software Engineer | Solutions Engineer
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