AI Solution Architect - Multi-Agent AI

Job Description

• 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.