Director of AI Engineering
Tasks
- Architect AI interface protocols for external systems
- Build LLM enrichment pipelines
- Collaborate with product data and GTM
- Communicate risks and value to executive leadership
- Define end-to-end AI architecture
- Design AI evaluation standards
- Design model lifecycle and MLOps
- Develop multi quarter technical roadmaps
- Ensure system reliability in production
- Expand AI features
- Implement responsible AI practices
- Improve AI scalability
- Make build buy partner decisions across AI stack
- Manage CI CD observability and on call
- Optimize AI cost efficiency
- Own AI production quality
- Plan release management
- Ship LLM powered products with measurable outcomes
- Translate business priorities into milestones and ROI targets
Perks/Benefits
- 401k Retirement Savings Plan with Company Match
- Company provided training courses
- Comprehensive health vision dental life insurance
- Enhanced paid parental leave
- Flexible time off policy
- Flexible work policy
- Free snacks and drinks
- In office collaboration Tuesdays and Thursdays
- Regular social events
- Unlimited access to LinkedIn Learning courses
- Wellness days
Skills/Tech-stack
API Design | AWS | Agent Development | Architecture Design | Artificial Intelligence | Azure | CI/CD | Cloud Computing | Cloud platform | Data Pipelines | Google Cloud | Google Cloud Platform | High Availability | High-availability systems | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Observability | On-Call | Personalization | Release Management | Responsible AI | Retrieval-Augmented Generation | Service Design | System Architecture
Education
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