Job purpose

We are seeking an AI Agent Engineer with hands-on experience in deploying and operating AI agents using Azure AI Foundry and Copilot Studio. The ideal candidate will have a strong foundation in identity management, Azure DevOps, and intermediate-level Python and SQL, along with experience in Azure MCP (Model Context Protocol) for building secure, scalable AI agent solutions.

You will work closely with product, engineering, and security teams to design, deploy, and maintain enterprise-ready AI agents that integrate seamlessly with existing systems and workflows.

Key responsibilities

Design, build, deploy, and manage AI agents using Azure AI Foundry and Copilot Studio

Implement and configure Copilot Studio agents for business workflows, automation, and user interactions

Leverage Azure MCP (Model Context Protocol) to enable secure context sharing, orchestration, and tool integration for AI agents

Integrate AI agents with enterprise applications, APIs, and data sources

Implement identity and access management (IAM) using Azure AD (Entra ID), managed identities, RBAC, and OAuth flows

Work with Azure DevOps to:

oCreate and maintain CI/CD pipelines

oManage source control, builds, and releases

Automate infrastructure and deployment workflows

Develop and maintain backend logic and integrations using Python (intermediate proficiency)

Write and optimize SQL queries for data access, analytics, and agent context enrichment

Monitor, debug, and optimize AI agent performance, reliability, and cost

Ensure security, compliance, and responsible AI practices are followed





Collaborate with cross-functional teams to translate business requirements into AI-driven solutions

Maintain technical documentation and deployment guidelines

Key competencies

Essential skills

Hands-on experience deploying AI agents using Azure AI Foundry

Experience building and managing agents in Copilot Studio

Experience with Azure MCP (Model Context Protocol) for AI agent architectures

Solid understanding of Identity Management:

oAzure AD (Entra ID)

oManaged identities

oAuthentication & authorization concepts

Experience with Azure DevOps (Repos, Pipelines, Boards, CI/CD)

Intermediate experience in Python for backend logic, integrations, and automation

Intermediate experience in SQL, including performance tuning and complex queries

Good understanding of REST APIs and service integrations

Experience working in Agile/Scrum environments

Strong problem-solving and analytical thinking

Ability to work independently and in cross-functional teams

Clear communication and documentation skills

Proactive mindset with attention to detail

Nice to Have

Experience with Azure services such as:

oAzure Functions

oAzure Logic Apps

oAzure API Management

oAzure OpenAI

Familiarity with prompt engineering and agent orchestration patterns

Knowledge of monitoring tools (Azure Monitor, Application Insights)

Exposure to enterprise security and compliance standards

Experience with versioning, testing, and deployment of AI solutions

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Delivery Lead - AI Implementation Engineer (Pune)
🏢 Acuity Knowledge Partners
📍 Pune