Head of AI Platform Engineering - Execution Plane
Tasks
- Build AI execution engines
- Build model gateways
- Collaborate with cross-functional teams to integrate automation
- Define operational resilience through SLOs and runbooks
- Design multi tenant runtime platforms with isolation
- Design production grade distributed systems
- Develop agent runtimes
- Drive orchestration frameworks
- Enforce identity propagation auditability and least privilege
- Ensure observability for AI workloads
- Establish testing CI CD standards
- Implement data access governance for retrieval pipelines
- Implement tool action gateways
- Improve reliability scalability and low latency
- Lead execution plane development
- Lead incident response and production support
- Manage agentic AI workloads
- Operate MCP servers
- Optimize inference and model serving performance
- Own execution plane roadmap
Perks/Benefits
- 401k match
- Backup family care
- Comprehensive medical/dental/vision coverage
- Disability insurance
- Flexible time off
- Flexible work location
- Life insurance
- Paid parental leave
- Tuition assistance
Skills/Tech-stack
ABAC | API Gateway | AWS | AWS IAM | AWS Lambda | AWS Step Functions | Amazon API | Amazon API Gateway | Amazon Bedrock | Amazon CloudWatch | Amazon DynamoDB | Amazon EKS | Amazon S3 | Amazon SageMaker | Artificial Intelligence | Auditability | Batching | CI/CD | Caching | Capacity Planning | Cloud Native | Context engineering | Data platform | Distributed Systems | Distributed tracing | Embeddings | Embeddings Models | Enterprise Search | Identity propagation | Incident Response | Inference Optimization | Infrastructure automation | LLMOps | Least Privilege | Load Testing | MLOps | Machine Learning | Model Serving | Multi-tenant | Multi-tenant architecture | Observability | Performance optimization | RAG | RBAC | Rate Limiting | Reranking | Retrieval-Augmented Generation | Runbooks | SLO | Secrets management | Step Functions | Streaming | Tenant architecture | Throttling | Vector Databases
Education
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