Director, Enterprise AI Engineering
Tasks
- Collaborate with product architecture platform teams
- Curate strategic AI engineering backlog
- Define golden path standards for AI development
- Deliver production-grade AI systems
- Design AI system architecture
- Design AI training evaluation orchestration deployment
- Develop AI engineers
- Ensure production ML reliability observability and monitoring
- Lead AI engineering team
- Manage incident response for ML systems
- Partner with engineering directors
- Provide hands on contribution to codebases
- Translate business requirements into software requirements
Perks/Benefits
- Access to cutting-edge AI technologies
- Healthcare impact
- Hybrid work
- Leadership influence
- Professional growth
Skills/Tech-stack
AI system architecture | API Design | Agentic Systems | CI/CD | Cloud Platforms | Deep learning | Deployment | Foundational models | Git | Graph Databases | Incident Response | Language Models | ML orchestration | Model Evaluation | Model Training | Monitoring | Multimodal Learning | NoSQL | Object-Oriented | Object-oriented programming | Observability | Optimization Algorithms | Python | SQL | System Architecture | Unit Testing
Education
Roles
AI | AI Engineering | AI Engineering Director | Director | Engineering | Engineering Director
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