· Architecture Design: Build scalable, secure, and resilient multi-agent orchestration frameworks using Azure OpenAI Service, Azure AI Agent Service, and Azure Kubernetes Service (AKS), frameworks such as Langraph and MS Agent Framework.
· Agent Coordination: Define communication protocols, memory management, and task delegation patterns between autonomous AI agents.
· Cloud Integration: Connect AI agents to enterprise data sources via Azure Cosmos DB, Azure AI Search, and Azure SQL, Snowflake , Databricks.
· Security & Governance: Implement AI safety guardrails, role-based access control (RBAC), and monitoring using Azure AI Content Safety and Azure Monitor.
· Collaboration: Guide software engineers, data scientists, and DevOps teams through implementation and deployment.
· Evaluation of AI Agents: evaluation of agents/LLMs (responses accuracy, consistency, hallucinations, etc).
Skills:
· Experience: 8+ years in software architecture, with 3+ years focused on enterprise AI and cloud solutions.
· Azure Expertise: Deep hands-on experience with Microsoft Azure core services, Azure OpenAI, and Azure AI Foundry.
· Frameworks: Proficiency in multi-agent frameworks like Microsoft AutoGen, Semantic Kernel, or LangChain.
· Coding Skills: Advanced programming skills in Python or C# for agent logic and API integration.
· MLOps: Knowledge of CI/CD pipelines, containerization (Docker, Kubernetes), and scaling LLM workloads.
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