Azure Agentic AI Architect

Role: Azure Agentic AI Architect

Location: Remote

Fulltime position

Job Description:

Must Have Technical/Functional Skills

• 10 12+ years of AI/ML engineering or cloud architecture experience. incl. 2 4+ years hands-on with LLMs/agent systems.
• 3+ years handson experience with Azure AI Foundry, Azure AI Agent Service, Azure OpenAI.
• Proven track record taking AI from POC pilot scaled production in large or regulated enterprises.
• Strong Python and LLM orchestration framework experience.
• Deep understanding of distributed systems, cloud-native design, containerization, and observability
  

Roles & Responsibilities:

• Define end-to-end architectures for autonomous AI agents on Azure.
• Collaborate with business and technical stakeholders to translate real-world challenges into AI-powered solutions
• Build scalable multi-agent systems including orchestrators, planners, reasoning engines, and tool-interacting agents.
• Agent Orchestration: Implement single/multi-agent patterns with tool use (APIs, RPA), long/short-term memory, and human-in-the-loop.
• Create reference architectures and best practices.
• Integrate agents with enterprise applications through APIs, Logic Apps, Azure Functions, and vector databases.
• Platform Integration: Integrate with Power Platform, ServiceNow, SAP, queues/events/APIs.
• Ensure security, governance, and Responsible AI compliance.
• Collaborate with crossfunctional teams and provide AI technical leadership.
• Lead implementation of AI agents using Azure OpenAI, LLM orchestration frameworks (LangChain, Semantic Kernel, AutoGen) and Azure AI Foundry workflows.
• Build advanced reasoning chains, tool orchestration pipelines, and Model Context Protocol (MCP) powered workflows.
• Integrate agents with enterprise applications using APIs, Logic Apps, Azure Functions, API Manager, App Services, and vector databases
• Lead AI projects from ideation to production, ensuring alignment with business goals and measurable outcomes
• Communicate complex AI concepts to non-technical stakeholders across departments
• Monitor and refine AI models to ensure accuracy, performance, and reliability
• Stay ahead of AI trends and tools to continuously evolve our capabilities