Azure AI Lead

Job Title: Azure AI Lead

Job Location: Medina, MN

Job Type: Contract

Job Overview:

Requirement/Must Have:

• Strong hands-on experience with Azure AI Foundry.
• Strong experience with Azure Document Intelligence.
• Experience with vector databases such as Azure AI Search.
• Strong Python experience, including data processing, API development, and Streamlit.
• Good understanding of LLMs, embeddings, RAG architecture, and prompt engineering.
• Strong experience within the Microsoft Azure ecosystem, including Azure OpenAI, Storage, App Service/Functions, and Key Vault.
• Strong SQL or Snowflake experience.
• Proven experience delivering real-world, production-grade document intelligence projects.
• Excellent business communication and stakeholder interaction skills.

Experience:

• 5+ years of relevant experience in AI/ML, data, or applied machine learning.

Responsibilities:

• Design and implement end-to-end document intelligence solutions using Azure AI Foundry.
• Build and manage LLM workflows, prompts, and evaluations using Azure AI Foundry and Prompt Flow.
• Develop RAG pipelines leveraging vector databases such as Azure AI Search.
• Perform document ingestion, OCR, preprocessing, chunking, and normalization using Python.
• Build and expose REST APIs for AI services using Python.
• Apply prompt engineering techniques to improve response accuracy and grounding.
• Evaluate and select OCR, embedding, and LLM models based on business needs.
• Troubleshoot and optimize AI pipelines for performance and scalability.
• Write and optimize SQL or Snowflake queries for data analysis and validation.
• Build quick internal tools and demos using Streamlit for business users.
• Communicate effectively with stakeholders regarding requirements, results, and limitations.

Should Have:

• Experience with LLM evaluation and monitoring.
• Exposure to MLOps, CI/CD, or Azure DevOps.
• Experience with invoice, contract, or form-processing use cases.

Skills:

• Azure AI Foundry.
• Azure Document Intelligence.
• Azure AI Search / vector databases.
• Python.
• REST API development.
• Streamlit.
• LLMs.
• Embeddings.
• RAG architecture.
• Prompt engineering.
• Azure OpenAI.
• Azure Storage.
• Azure App Service / Azure Functions.
• Azure Key Vault.
• SQL.
• Snowflake.

Qualification and Education:

• Relevant degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or related field preferred.