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Azure Agentic AI Architect

Job in Atlanta, Fulton County, Georgia, 30301, USA
Listing for: TATA Consulting Services
Full Time position
Listed on 2026-02-17
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 170000 USD Yearly USD 80000.00 170000.00 YEAR
Job Description & How to Apply Below
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 hands‑on 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, Service Now, SAP, queues/events/APIs.

Ensure security, governance, and Responsible AI compliance.

Collaborate with cross‑functional teams and provide AI technical leadership.

Lead implementation of AI agents using Azure OpenAI, LLM orchestration frameworks (Lang Chain, Semantic Kernel, Auto Gen) 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

Salary Range: $80,000-$170,000 a year

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