Vice President, Generative AI Platform Engineering
USD 140K-285K Executive-level Full Time
Tasks
- Build reference architectures and golden paths
- Deliver enterprise AI control plane capabilities
- Design model gateway for enterprise LLM access
- Develop reusable RAG pipelines and vector stores
- Ensure AI governance and regulatory compliance
- Establish engineering practices and operational processes
- Implement identity and access management for human and agent identities
- Implement observability tracing and monitoring
- Lead and develop engineering teams
- Lead generative AI platform architecture
- Own agent orchestration and lifecycle management
Perks/Benefits
- Charitable giving employee match program
- Comprehensive health care coverage
- Educational assistance
- Emotional well-being support
- Learning resources
- Paid time off
- Parental leave
- Retirement benefits
- Student loan repayment
- Tuition reimbursement
Skills/Tech-stack
AI Agents | AI Foundry | AI Governance | AI orchestration | APIs | AWS | Access Management | Agentic Workflows | Amazon Bedrock | Anthropic | Autoscaling | Azure | Azure AI | Azure AI Foundry | Caching | Cloud Native | Cloud Native Architecture | Context Management | Cost Management | CrewAI | Distributed Systems | Drift monitoring | Encryption Key Management | Evaluation | Event Driven | Event-driven architecture | GPU scheduling | Hybrid search | Identity and Access Management | Identity and access | Key Management | Kubernetes | Langgraph | Language Models | Large Language Models | Latency monitoring | Least Privilege | Model Context Protocol | Model Risk Management | Model Serving | Model risk | Observability | OpenAI | Quota Management | RAG | Rate Limiting | Regulatory Compliance | Reranking | Risk Management | Rollback | Session State | Telemetry | Token Economics | Tracing | Vector Databases | Versioning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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