Azure AI Engineer

Top Requirements

(Must haves)

· At least four years of software engineering, AI/ML development, or related technical experience.

· Hands-on experience developing and deploying AI/ML or intelligent automation solutions in production or near-production environments.

· Microsoft Azure AI experience, including Azure AI Foundry, Azure OpenAI, and Azure AI Search.

· Hands-on experience building and delivering agents in both Copilot Studio and Azure AI Foundry Agent Service.

· Experience with Power Automate, Power Apps, and Dataverse integrations.

· Strong understanding of generative AI, RAG, prompt engineering, vector databases, knowledge grounding, and orchestration patterns.

· Strong Python development experience.

· Experience with LangGraph, LangChain, and OpenAI or Azure OpenAI SDKs.

· Experience developing and integrating APIs and REST services.

· Familiarity with MuleSoft, Azure API Management, or Microsoft Graph connectors.

· Working knowledge of AI gateways, Model Context Protocol, agent interoperability, and tool orchestration.

· Experience with Git, GitHub Copilot, Visual Studio Code, CI/CD pipelines, testing, debugging, and modern DevOps practices.

· Understanding of AI security, data privacy, responsible AI, regulatory compliance, and AI FinOps.

· Strong communication, collaboration, analytical thinking, and problem-solving skills.

· Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related technical discipline.

Additional Qualifications

(Nice to Haves)

· Microsoft Azure AI Engineer Associate certification

· Microsoft Power Platform Developer Associate certification

· Microsoft Azure Developer Associate certification

· Computer vision experience with Azure AI Vision, Azure AI Video Indexer, or OpenCV

· Experience with AutoGen or other multi-agent orchestration frameworks

· Exposure to LLMOps tooling and production lifecycle management

· Retail technology experience, particularly within store operations, customer experience, supply chain, or merchandising

Additional Notes

· This is a hands-on engineering position requiring both low-code and pro-code capabilities.

· Candidates should have practical experience delivering agents through Copilot Studio and Azure AI Foundry, not solely conceptual or architectural AI experience.

· The position spans the complete solution lifecycle and includes post-production support.

· The environment requires close coordination across architecture, engineering, product, business, and external partner teams.

· Candidates should be comfortable working with rapidly evolving AI technologies and applying them to enterprise retail use cases.