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Azure Ai Document Intelligence Jobs (NOW HIRING)

EIGENNET LLC

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Document AI Architect

Brockton, MA · On-site

$140K - $160K/yr

Experience utilizing AI/ML document processing platforms such as Microsoft Azure AI Document Intelligence, AWS Textract, Google Document AI, ABBYY FlexiCapture, UiPath Document Understanding ...

Inficare Technologies

Senior Front-End Engineer

$125K - $172K/yr

Integrate Azure AI Document Intelligence to render documents and display extracted fields for human-in-the-loop validation. * Utilize GitHub Copilot to accelerate development cycles and maintain high ...

EIGENNET LLC

Be Seen First

Document AI Architect

Brockton, MA · On-site

$140K - $160K/yr

Experience utilizing AI/ML document processing platforms such as Microsoft Azure AI Document Intelligence, AWS Textract, Google Document AI, ABBYY FlexiCapture, UiPath Document Understanding ...

Xlysi

$62.75 - $81.75/hr

Design and implement Agentic AI solutions using Microsoft Azure AI Foundry for enterprise-scale ... Evaluate and select OCR solutions (Azure Document Intelligence vs. John Snow Labs) aligned to ...

Noblesoft Technologies

Gen AI Architect

Jersey City, NJ · On-site

Architect end-to-end AI model workflows, utilizing Azure AI, and Google AI tools. Focus will be on applications involving complex document intelligence, multi-modal data analysis, and advanced image ...

Noblesoft Technologies

GEN AI Architect

Charlotte, NC · On-site

Architect end-to-end AI model workflows, utilizing Azure AI, and Google AI tools. Focus will be on applications involving complex document intelligence, multi-modal data analysis, and advanced image ...

Hirekeyz Inc

AI/Full Stack Engineer

Irving, TX · Remote

Utilize Azure AI services, including Document Intelligence, Azure OpenAI, and AI Search, to build intelligent features. Implement and manage MongoDB databases for application data storage. Contribute ...

Samprasoft

AI/Full Stack Engineer

Irving, TX · On-site

Utilize Azure AI services, including Document Intelligence, Azure OpenAI, and AI Search, to build intelligent features. Implement and manage MongoDB databases for application data storage. Contribute ...

Bechtle

$50.50 - $69.25/hr

Dabei entwickelst und integrierst du innovative AI-Lösungen mit Schwerpunkt auf Microsoft Azure Cloud Services wie OpenAI, AI-Foundry, Document Intelligence und Cognitive Services für konkrete ...

TriOptus LLC

DevOps Engineer

Irving, TX · On-site

$50.75 - $69.50/hr

Azure AI Foundry, Azure Machine Learning, Document Intelligence, Azure AI Search, Vertex AI, Document AI, LLMs, etc. Desired Qualifications: • Exposure to Cloud governance and logging/monitoring ...

Calance US

Azure AI Engineer- onsite

Charlotte, NC

... intelligence. What You ll Do Copilot Optimization: Analyze and refactor Copilot Studio agents to ... Develop infrastructure-as-code for resilient workloads and produce comprehensive documentation ...

Virtusa

AI Solutions Architect

Piscataway, NJ · Hybrid

$64.25 - $84.50/hr

Azure AI foundry stack : nice to have o Azure AI search : semantic, keyword & hybrid search o Azure document intelligence Multi-threading in Python: nice to have o AsyncIO o Non blocking programming.

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All JobsAzure Ai Document Intelligence Jobs

Azure Ai Document Intelligence information

What is Azure AI Document Intelligence?

Azure AI Document Intelligence is a cloud-based service provided by Microsoft Azure that uses artificial intelligence to extract, analyze, and process information from documents such as invoices, receipts, forms, and more. It helps automate data extraction by recognizing key fields and values, turning unstructured data into structured, usable information. This service is commonly used to streamline document-heavy workflows, reduce manual data entry, and improve operational efficiency for businesses.

What are the key skills and qualifications needed to thrive as an Azure AI Document Intelligence Specialist, and why are they important?

To excel as an Azure AI Document Intelligence Specialist, you need a solid understanding of cloud computing, machine learning, and document processing, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services, especially AI Document Intelligence (formerly Form Recognizer), as well as experience with APIs, Python, and data integration tools is crucial. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret business needs and deliver tailored AI solutions. These competencies ensure accurate extraction and processing of information from documents, driving automation and efficiency in enterprise workflows.

What are some common challenges faced by professionals working with Azure AI Document Intelligence, and how can they be addressed?

Professionals working with Azure AI Document Intelligence often encounter challenges such as handling documents with complex layouts, ensuring high accuracy in data extraction, and integrating the service into existing workflows. Overcoming these challenges typically involves leveraging pre-trained models, customizing training with domain-specific data, and collaborating closely with developers and business analysts to fine-tune extraction processes. Regularly testing the models and staying updated with Azure’s latest features can also help improve outcomes and streamline document processing within teams.

What is the difference between Azure Ai Document Intelligence vs Data Scientist?

AspectAzure Ai Document IntelligenceData Scientist
Primary FocusAutomating document processing and extracting insights from unstructured data using AIAnalyzing data to develop models, insights, and predictions for business decisions
Required SkillsAI/ML, OCR, NLP, cloud services, data preprocessingStatistics, programming (Python/R), machine learning, data analysis
Work EnvironmentCloud platforms, AI tools, enterprise document workflowsData analysis environments, research labs, business analytics
CertificationsAzure certifications, AI/ML certificationsData Science certifications, Python/R certifications

Azure Ai Document Intelligence focuses on automating document processing using AI technologies, while Data Scientists analyze data to build predictive models. Both roles require AI and data analysis skills but serve different purposes within the data ecosystem.

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Azure Ai Document Intelligence jobs near you
Infographic showing various Azure Ai Document Intelligence job openings in the United States as of June 2026, with employment types broken down into 69% Full Time, and 31% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
AI Architect (with Azure)-Remote : Contract on w2

AI Architect (with Azure)-Remote : Contract on w2

Marvel Technologies Inc

Southfield, MI • Remote

$65 - $84.75/hr

Contractor

Posted 14 days ago

Job description

Job Title :  AI Architect (with Azure)

Location :   Remote-USA

Duration : Long Term Contract

Contract on w2

Domain- Preferred Insurance.

Experience: 15+ years

Role Overview:

We are seeking a highly skilled AI Azure Architect to lead the architecture and technical strategy for AI programs across insurance and other regulated industries. The AI Architect will own and define reference architectures for Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI, ensuring solutions are scalable, secure, compliant, and deliver measurable business value on AWS cloud/Azure Cloud.

Key Responsibilities:

  • Define end-to-end AI architectures covering ingestion → storage → retrieval → reasoning → action → monitoring.
  • Own and evolve reference architectures for Document AI, Conversational AI, and Agentic AI.
  • Specify non-functional requirements (latency, throughput, privacy, compliance, observability, cost).
  • Select and justify AWS-native AI/ML services (Bedrock, SageMaker, Kendra, OpenSearch, etc.) and third-party tools.

OR

  • Select and justify Azure-native AI/ML Services - Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob Storage, Azure AI Search, Azure Cognitive Services, Service Principals, and Azure Agent (critical for agentic workflows).
  • Govern prompt/version management, enforce safety policies, and manage controls for prompt injection and PII protection.
  • Lead PoCs to production with AWS-based templates and golden paths.
  • Collaborate with stakeholders; mentor engineers; conduct design/code reviews.
  • Establish measurement frameworks (hallucination rate, groundedness, answer quality, CSAT, deflection).
  • Ensure seamless AWS/Azure enterprise integrations with insurance platforms (policy, claims, underwriting).

Required Skills & Experience:

  • 15+ years in AI/ML software, 3–5+ years in solution/enterprise architecture.
  • Proven experience designing AI systems at enterprise scale on AWS/Azure.
  • Hands-on with AWS Bedrock, SageMaker, Lambda, Kendra, OpenSearch, Redshift, DynamoDB, S3.

OR

  • Hands on Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Service Principals, Azure Blob, Azure AI Search, Azure Cognitive Services, and Azure Agent.
  • Expertise in LLMs, vector databases, RAG pipelines, and agentic workflows.
  • Strong multi-cloud cost/latency tradeoff knowledge.
  • Excellent communication, stakeholder engagement, and blueprinting skills.
  • Insurance industry experience strongly preferred (FNOL, claims adjudication, underwriting, billing, policy servicing).