Optimize AI workloads using model caching, selective batching, adaptive routing, vector index optimization, and autoscaling strategies on AKS/Functions.
Lead architecture reviews, threat modeling, cost modeling, and performance benchmarking for large-scale GenAI workloads.
Evaluate new Azure GenAI capabilities, FMs, agent frameworks, vector databases, and orchestration tools.
Build internal accelerators and reusable reference architectures for:
Multi-agent orchestration with Azure Agents Framework, Langgraph, CrewAI
RAG 2.0 and context enrichment pipelines
Federated & hybrid retrieval patterns
Enterprise system/tool integration
Drive PoCs, prototypes, and tech spikes to validate emerging Azure GenAI capabilities and accelerate enterprise adoption.
Microsoft Certified Azure Solutions Architect Expert or equivalent Azure Architect certification.
Strong hands-on experience designing AI/ML or GenAI systems on Azure.
