Lead AI Platform Engineer
Tasks
- Build shared AI platform services
- Define AI platform technical roadmap
- Deploy AI services on Kubernetes
- Design cloud-native AI infrastructure
- Ensure governance and security controls
- Ensure platform reliability and scalability
- Establish LLMOps standards
- Establish MLOps standards
- Evolve enterprise AI platform capabilities
- Handle incident management
- Implement CI/CD pipelines
- Implement microservices and event-driven architectures
- Implement observability and evaluation
- Implement responsible AI governance
- Integrate emerging AI technologies
- Lead AI platform design
- Manage and mentor AI engineers
- Manage model lifecycle
- Optimize cost and performance
- Perform capacity planning
- Productionize AI and generative AI solutions
- Support disaster recovery
Perks/Benefits
- N/A
Skills/Tech-stack
AI gateway | API | AWS | Azure | CI/CD | Cloud platform | Disaster Recovery | Docker | Event Driven | Event-driven architecture | Feature Store | Google Cloud | Google Cloud Platform | Governance | Inference APIs | Infrastructure as Code | Kubernetes | LLMOps | MLOps | Microservices | Model Registry | Model Serving | Observability | Prompt management | Python | Security | Vector Database | “as-code”
Education
Roles
AI | AI Platform Engineer | Engineer | Lead | Lead AI | Lead AI Platform Engineer | Platform Engineer
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