Lead AI Agent Developer with Azure AI Certifications | 10 – 12+ Years | USA

Qwalton Private Limited; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Qwalton Services Limited is seeking a Lead AI Agent Developer with Azure AI Certifications to lead the design, development, and deployment of enterprise-grade AI agents in the USA. The role focuses on building agentic workflows, tool calling, and multi-agent orchestration within secure, scalable systems.

Candidates should hold Azure AI Engineer Associate and related certifications, have 8+ years in software or cloud engineering, and at least 3 years in AI/Generative AI.

Qualifications

• 8+ years in software engineering, cloud development, or enterprise integration.
• 3+ years in AI/ML or Generative AI preferred.
• Proven delivery of AI agents from concept to production.
• Ability to lead technical implementation and collaborate across teams.

Responsibilities

• Design, develop, and deploy AI agents using Azure, Foundry, and OpenAI.
• Build agentic workflows, tool calling, multi-agent orchestration, and human-in-the-loop processes.
• Develop MCP clients and servers to integrate AI agents with enterprise APIs and data sources.
• Integrate AI agents with enterprise systems, databases, REST APIs, and business apps.
• Implement secure authentication, authorization, data protection, and guardrails.
• Develop scalable, reliable, maintainable Python/C# solutions.
• Establish reusable AI components and engineering standards.

Skills

Azure OpenAI

Python

C#

Agentic workflows

API orchestration

Vector search

Security & identity

Troubleshooting

Job description

Role: Lead AI Agent Developer with Azure AI Certifications

This Position is strictly for the job seekers who are staying in USA only others are not eligible

Mandatory Certifications

• 1. AI Development & Architecture
• - GH-300: GitHub Copilot Associate
• - AI-102: Azure AI Engineer Associate
• - AI-103: Azure AI Apps and Agents Developer Associate
• - AB-100: Agentic AI Business Solutions Architect
• 2. Security & Identity
• - SC-401: Information Security Administrator Associate
• - SC-300: Identity and Access Administrator Associate
• 3. Data & Analytics
• - DP-600: Fabric Analytics Engineer Associate

Key Responsibilities:

• Design, develop, and deploy AI agents using Microsoft Azure, Microsoft Foundry, and Azure OpenAI.
• Build agentic workflows, tool calling, multi-agent orchestration, and human-in-the-loop processes.
• Develop MCP clients and servers to integrate AI agents with enterprise APIs, tools, and data sources.
• Integrate AI agents with enterprise systems, databases, REST APIs, and business applications.
• Implement secure authentication, authorization, data protection, and responsible AI guardrails.
• Develop scalable, reliable, and maintainable solutions using Python and/or C#.
• Establish reusable AI components, engineering standards, and best practices.

Mandatory Skills:

• Strong hands-on experience with Microsoft Azure and Azure OpenAI.
• Experience building and deploying LLM-powered AI agents and agentic workflows.
• Working knowledge of Microsoft Foundry and relevant agent-development frameworks.
• Strong programming skills in Python and/or C#.
• Experience with MCP, function calling, tool integration, and API orchestration.
• Hands-on experience with vector search, and Azure AI Search or equivalent.
• Knowledge of identity management, access controls, secrets management, and AI security.
• Strong troubleshooting, problem-solving, and technical communication skills.

Preferred Skills:

• Microsoft Agent Framework, Microsoft Fabric, Microsoft Graph, and SharePoint integration.
• Azure Functions, Logic Apps, API Management, and Azure Service Bus.
• Experience with agent evaluation, LLM observability, and prompt-injection mitigation.
• Familiarity with LangGraph or comparable agent orchestration frameworks.
• Experience delivering enterprise AI solutions at scale.

Experience and Qualifications:

• 8+ years of software engineering, cloud development, or enterprise integration experience.
• 3+ years of relevant AI/ML or Generative AI experience preferred.
• Demonstrated experience delivering AI agents beyond proof of concept into production.
• Proven ability to work independently, lead technical implementation, and collaborate across teams.