AI Engineer – Azure AI Foundry, Copilot Studio & Generative AI
Job Title: AI Engineer – Microsoft Azure AI / Generative AI
Experience Required: 4+ Years
Job Type: [Contract / Full-Time]
Location: [Insert Location / Work Arrangement]
Job Summary
We are seeking a highly skilled and hands-on AI Engineer to design, develop, deploy, and support enterprise-grade AI solutions using the Microsoft Azure AI ecosystem.
The ideal candidate will have strong experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Copilot Studio, Python, and Power Platform, along with practical expertise in building AI agents, agentic workflows, Retrieval-Augmented Generation (RAG) applications, and intelligent automation solutions.
This role requires a combination of low-code and pro-code development expertise, with a strong focus on delivering scalable, secure, and production-ready AI applications.
Key Responsibilities
Design, develop, deploy, and maintain AI-powered assistants and intelligent agents using Microsoft Copilot Studio and Azure AI Foundry Agent Service.
Build agentic AI applications, multi-agent workflows, and orchestration solutions using Python, LangGraph, LangChain, SDKs, and REST APIs.
Develop and optimize RAG pipelines, including document ingestion, vector indexing, semantic search, prompt engineering, and enterprise knowledge grounding.
Leverage Azure OpenAI, Azure AI Search, and Azure AI Foundry to deliver scalable generative AI solutions.
Develop low-code automation solutions using Power Automate, Power Apps, and Microsoft Dataverse.
Integrate AI applications with enterprise systems, including Cosmos DB, SQL databases, SaaS platforms, file systems, and Microsoft Graph.
Build and integrate APIs using Azure API Management, Azure Integration Services, MuleSoft, and Model Context Protocol (MCP).
Implement AI security, data privacy, responsible AI, content filtering, and governance best practices.
Support CI/CD pipelines, LLMOps, testing, monitoring, debugging, and production deployments.
Collaborate with architects, data engineers, product managers, business analysts, and stakeholders throughout the software development lifecycle.
Evaluate and implement emerging AI technologies to improve business productivity, automation, and operational efficiency.
Required Qualifications
4+ years of experience in software engineering, AI/ML development, or related technical roles.
Hands-on experience developing and deploying AI/ML, generative AI, or intelligent automation solutions.
Strong practical experience with Azure AI Foundry, Azure OpenAI, and Azure AI Search.
Proven experience building and deploying AI agents using both Microsoft Copilot Studio and Azure AI Foundry Agent Service.
Experience with Power Automate, Power Apps, and Dataverse integrations.
Strong knowledge of Generative AI, LLMs, RAG, prompt engineering, vector databases, semantic search, and agent orchestration.
Proficiency in Python, including experience with LangChain, LangGraph, and OpenAI/Azure OpenAI SDKs.
Experience developing and integrating RESTful APIs and enterprise applications.
Familiarity with Azure API Management, MuleSoft, Microsoft Graph connectors, and Azure Integration Services.
Understanding of Model Context Protocol (MCP), AI gateways, tool calling, and agent interoperability.
Experience with Git, GitHub Copilot, Visual Studio Code, CI/CD pipelines, and DevOps practices.
Knowledge of AI security, responsible AI, data privacy, governance, and AI cost optimization (FinOps).
Strong communication, troubleshooting, analytical, and cross-functional collaboration skills.
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field.
Preferred Qualifications
Microsoft Certified: Azure AI Engineer Associate.
Microsoft Certified: Power Platform Developer Associate.
Microsoft Certified: Azure Developer Associate.
Experience with Azure AI Vision, Azure AI Video Indexer, OpenCV, or computer vision applications.
Exposure to AutoGen or other multi-agent orchestration frameworks.
Experience with LLMOps, model monitoring, and AI application lifecycle management.
Experience in retail technology, supply chain, merchandising, store operations, or customer experience.
Knowledge of demand forecasting, personalization, and intelligent process automation.
Ideal Candidate
The ideal candidate is a hands-on AI Engineer who has successfully built and deployed production-grade AI agents using Microsoft Copilot Studio and Azure AI Foundry. The candidate should be comfortable developing custom AI applications with Python while also leveraging Microsoft Power Platform for low-code automation.
Experience integrating enterprise data sources, implementing RAG architectures, orchestrating AI agents, and supporting AI applications in production environments is essential.
Key Skills: Azure AI Foundry, Azure OpenAI, Azure AI Search, Copilot Studio, Azure AI Foundry Agent Service, Generative AI, Agentic AI, AI Agents, Python, LangChain, LangGraph, RAG, LLM, Power Automate, Power Apps, Dataverse, REST API, MCP, Azure API Management, MuleSoft, CI/CD, LLMOps.
