ID
Job Description
- Azure Infrastructure Design
- Strong knowledge of native services in Cloud: Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services, Azure AI Foundry and Copilot Studio, Azure Web Apps, Azure App Services.
- Generative AI Concepts: Language models (e.g., GPT), Prompt engineering and fine-tuning, Agent-based orchestration patterns
- AI Workload Design Principles: Azure Well-Architected Framework for AI, Containerization of AI components, API gateway integration, Microservices and event-driven architecture
- Cloud Networking: Bandwidth, latency recommendations, Knowledge of private/public endpoints and the differences between those, Network Security Groups, Basic network concepts: VNets, VLAN, Subnet, routing, firewalls, DNS, load balancers, etc
- Collaboration with AI teams: Strategic guidance, explains architecture patterns, guidance on integrating Azure AI services.
- Security and compliance: Data privacy, model explainability, and ethical AI practices. Azure Policy, Key Vault, and monitoring tools
- Documentation: LLD and HLD creation
- Technical Skills: Programming (Python, powershell, etc.).
- Infrastructure& DevOps: AKS, Azure DevOps, GitHub CI/CD pipeline, Terafform knowledge