Global Head of AI Platform Engineering, SVP
Tasks
- Automate monitoring scaling and recovery for AI workloads
- Build reusable AI services including APIs SDKs and workflows
- Deliver agile continuous delivery for platform products
- Design build and operate enterprise AI platforms
- Establish observability SLAs SLOs and error budgets
- Implement SRE practices for AI platform reliability
- Integrate AI platforms with data pipelines and feature stores
- Lead large scale AI platform engineering organization
- Manage incident response and operational playbooks
- Optimize training and inference performance scalability and cost
- Own AI platform lifecycle from development to operations
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Agentic AI | Agile delivery | Artificial Intelligence | Cloud Native | Continuous Delivery | Cost Optimization | Distributed Systems | Embeddings | Error Budgets | Feature Engineering | Feature Store | GPU Computing | Generative AI | Incident Management | LLM | Machine Learning | Model Inference | Model Training | Observability | Orchestration | Prompt engineering | Reliability Engineering | SDK development | SLAs | SLOs | SRE | Site Reliability | Site Reliability Engineering | Vector Databases
Education
N/A
Regions
Countries
States
Cities
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