Vice President, AI Platform Engineering
Santa Clara, CA, United States
A USD 203K-280K (estimate) Executive-level Full Time
Tasks
- Build AI platform engineering organization
- Build agentic SDK capabilities
- Build vector database systems
- Create CI/CD pipelines for ML
- Define AI Platform strategy
- Deploy LLM with RAG
- Design AI/ML platform architecture
- Enable auditability and governance standards
- Enable multi agent systems
- Enable real-time data flows
- Ensure responsible AI practices
- Establish AI governance tooling
- Evaluate AI technology vendors
- Implement agent orchestration
- Implement data privacy controls
- Implement model evaluation
- Implement observability tooling
- Implement orchestration frameworks
- Implement semantic layers
- Integrate cloud solutions
- Lead cross-functional governance forums
- Manage feature stores
- Operate model lifecycle management
- Optimize AI workload performance and reliability
- Reduce AI infrastructure costs
- Set up model monitoring
- Support lakehouse architecture
Perks/Benefits
Skills/Tech-stack
AI Security | Auditability | CI/CD | Data Privacy | Distributed Systems | Feature Store | Governance | LLM | LLMOps | Lakehouse Architecture | Lifecycle Management | MLOps | Model Evaluation | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Observability | Orchestration | PyTorch | Python | RAG | Real Time | Real-time Data | Semantic layer | TensorFlow | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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