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Azure Ai Document Intelligence Jobs (NOW HIRING)

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 ...

IBOTIX US Inc.

Azure AI Engineer

Jersey City, NJ · On-site

$57.50 - $71.25/hr

Experience with RAG, vector indexing, and knowledge mining using Azure AI Search; document intelligence with Form Recognizer. * Handson MLOps (Azure ML pipelines/registries/endpoints), DevOps (Azure ...

New

Collabera LLC

AI/ML Engineer

Charlotte, NC · On-site

Experience with cloud-based AI services (Azure AI Document Intelligence, AWS Textract, Gogle Document AI). * Knowledge of MLOps, model monitoring, and CI/CD for AI applications. Preferred Experience

Matrix Global

Azure AI & Databricks Solution Architect

$65 - $84.75/hr

Develop AI applications utilizing Azure OpenAI, Cognitive Services, Document Intelligence, and AI Search. * Implement MLOps and LLMOps frameworks for model lifecycle management and deployment.

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 ...

Crowe LLP

Tax Artificial Intelligence Manager

Atlanta, GA

$106K - $139K/yr

AI Integration & Document Processing * Guideintegrations with AzureFoundry, Azure AI Document Intelligence, and other Azure resourcesacross document-processing and AI-assisted analysis pipelines.

Crowe LLP

Tax Artificial Intelligence Manager

Boston, MA

$120K - $158K/yr

AI Integration & Document Processing * Guideintegrations with AzureFoundry, Azure AI Document Intelligence, and other Azure resourcesacross document-processing and AI-assisted analysis pipelines.

Crowe LLP

Tax Artificial Intelligence Manager

Tampa, FL

$104K - $137K/yr

AI Integration & Document Processing * Guideintegrations with AzureFoundry, Azure AI Document Intelligence, and other Azure resourcesacross document-processing and AI-assisted analysis pipelines.

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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 does Azure AI Document Intelligence do?

Azure AI Document Intelligence is a service that uses artificial intelligence to extract and analyze data from unstructured documents such as PDFs, forms, and images. It enables automation of data processing, improves accuracy, and supports integration with other Azure services for building intelligent applications. Professionals working with this technology should have skills in AI, machine learning, and cloud computing environments.

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.

Which 3 jobs will survive AI?

Jobs that require complex problem-solving, creativity, and emotional intelligence, such as data scientists, AI specialists, and healthcare professionals, are likely to persist despite AI advancements. These roles often involve tasks that are difficult to automate fully and benefit from human judgment and interpersonal skills.

What is the salary of Azure AI?

The salary for an Azure AI Document Intelligence specialist varies depending on experience, location, and company, but typically ranges from $80,000 to $130,000 annually. Professionals with skills in cloud computing, AI, and data analysis tend to earn higher salaries. Certifications in Azure and related technologies can also influence compensation.

What jobs can I get with Azure AI certification?

Azure AI certification can qualify you for roles such as AI Engineer, Data Scientist, Machine Learning Engineer, or AI Developer, focusing on designing and implementing AI solutions using Azure services. These roles typically require knowledge of cloud platforms, machine learning, and data analysis tools, and often involve working in environments that utilize Azure Cognitive Services and Azure Machine Learning. Certification demonstrates proficiency in deploying AI models and managing cloud-based AI projects.

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.

More about Azure Ai Document Intelligence jobs
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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 July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% 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 29 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).