AI Engineering Lead, Product Analytics
Tasks
- Build evaluation tooling
- Build reusable components and context standards
- Build shared AI infrastructure
- Coordinate cross-team dependencies
- Create agent documentation and reliability guidance
- Define evaluation standards and definition of done
- Develop AI agents for production
- Drive data lake source onboarding
- Ensure AI governance and compliance
- Identify pipeline gaps in data and context
- Maintain shared Git repositories
- Monitor production agent health and quality drift
- Run and improve AI system evaluations
- Scale adoption with registries and tool management
- Set repository and build artifact standards
- Teach builders infrastructure usage
Perks/Benefits
- Career development
- Employee incentive programs
- Flexible vacation
- Flexible work-life balance
- Headspace access
- Hybrid work model
- Mental health days
- Retirement savings
- Social impact volunteering resources
- Tuition reimbursement
- Work from anywhere up to 8 weeks per year
Skills/Tech-stack
AI Governance | AI compliance | Agent Design | Azure DevOps | Data Lake | Data Quality | Evaluation | Git | Language Processing | Linear | Machine Learning | Natural Language | Natural Language Processing | Power BI | Prompt engineering | Python | SQL | SharePoint | Snowflake | Streamlit | Tableau
Education
N/A
Roles
AI | AI Engineering | AI Engineering Lead | Analytics Lead | Engineering Lead | Lead | Product Analytics | Product Analytics Lead
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