AI Platform Engineer Manager
Tasks
- Architect data ingestion embedding and vector search pipelines
- Build LLMOps pipelines
- Collaborate with stakeholders security architects and vendors
- Define AI engineering standards and governance
- Deploy AI infrastructure and models
- Design scalable secure AI infrastructure
- Drive platform PoCs and evaluate emerging AI technologies
- Implement CI/CD automation pipelines
- Lead AI platform design and evolution
- Manage AI incidents and troubleshooting
- Monitor token usage latency and errors
- Optimize inference performance and reliability
Perks/Benefits
- Daily meals
- Development programs
- Flexible work options
- Hybrid work setup
- Shuttle Services
- Wellness initiatives
Skills/Tech-stack
AI Foundry | AI Search | API Management | Agentic Frameworks | Azure AI | Azure AI Foundry | Azure AI Search | Azure API | Azure API Management | Azure Data | Azure Data Factory | Azure Data Lake | Azure OpenAI | Bash | Bicep | CI/CD | Data Factory | Data Lake | Databricks | Inference Optimization | Infrastructure as Code | LLMOps | Monitoring | Observability | Powershell | Private Link | Python | RAG | Retrieval-Augmented Generation | Scripting | Terraform | VNet | Vector Search | “as-code”
Education
N/A
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