Azure - AI Foundry Specialist

Azure - AI Foundry Specialist

Location: New York, NY (Onsite 5 Days)

Job Type: Long term Contract (C2C / W2)

Experience: 5+ years

About the role

We’re looking for an Azure - AI Foundry Specialist to configure and set up our document intelligence and document understanding capabilities. You’ll be the subject-matter expert who turns document types and business requirements into working, accurate, and governed AI configurations.

Responsibilities

• Configure and deploy document intelligence and document understanding solutions in Azure AI Foundry

• Set up projects, model deployments, connections, and access controls

• Train, tune, and evaluate custom extraction models for our document types (forms, contracts, invoices, and so on)

• Define schemas, field mappings, and confidence thresholds, and measure accuracy against labeled samples

• Iterate on prompts, model choices, and configurations to improve extraction quality

• Document configurations, evaluation results, and operational runbooks

• Work with .NET developers and data engineers to make sure outputs meet integration contracts

Required qualifications

• 5+ years of experience with AI/ML platforms, with hands-on Azure AI Foundry and Document Intelligence (or comparable services)

• Experience with OCR, layout analysis, and structured extraction from documents

• Ability to build labeled datasets and run evaluation cycles

• Understanding of responsible AI, security, and governance practices

• Strong written communication for configuration documentation

Nice to have

• Experience with LLM-based document understanding and prompt engineering

• Python scripting for evaluation and automation

• Experience in [industry/domain] document types

The ideal candidate should be hands-on with the full document AI lifecycle: Azure AI Foundry → Document Intelligence → OCR/Layout → Custom Extraction → Labeled Data → Evaluation → Optimization → Production Integration.

If interested, please share your updated resume along with your location, work authorization, availability, and expected rate .