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Azure Ai Document Intelligence Jobs (NOW HIRING)

Cynet Systems

Azure AI Lead

Hamel, MN · On-site

$68 - $88.75/hr

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 ...

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 ...

EffOne Technologies

Be Seen First

Azure AI Foundry Architect

Arlington, VA · Remote

$50 - $80/hr

Azure OpenAI, AI Search, Document Intelligence pipeline, Prompt Flow evals, and App Insights tracing. • Establish the Azure AD GCP service account identity bridge; broker GCP resource access ...

Omni Inclusive

Azure AI Engineer

Hoboken, NJ · On-site

$60.25 - $74.75/hr

Expertise in cloud services such as Azure OpenAI, Document Intelligence, AI Search, Cosmos DB, App Service, Managed Identities, Customer Managed Keys, Azure IaaS and PaaS solutions, and Copilot ...

Kasmo Global

Azure AI Developer

$56.25 - $69.75/hr

... intelligence. Responsibilities: · Design and develop AI-powered features and services using Azure ... AI Services (e.g., Azure OpenAI, Cognitive Search, etc.). · Integrate and customize large language ...

Kasmo Global

Azure AI Developer

Alpharetta, GA · On-site

$53.75 - $66.75/hr

... intelligence. Responsibilities: • Design and develop AI-powered features and services using Azure ... AI Services (e.g., Azure OpenAI, Cognitive Search, etc.). • Integrate and customize large ...

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 ...

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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
What cities are hiring for Azure Ai Document Intelligence jobs? Cities with the most Azure Ai Document Intelligence job openings:
What states have the most Azure Ai Document Intelligence jobs? States with the most job openings for Azure Ai Document Intelligence jobs include:
What job categories do people searching Azure Ai Document Intelligence jobs look for? The top searched job categories for Azure Ai Document Intelligence jobs are:
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 4% As Needed, 38% Full Time, 44% Part Time, 1% Temporary, 12% Contract, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Azure AI Lead

Azure AI Lead

Cynet Systems

Hamel, MN • On-site

$68 - $88.75/hr

Other

Posted 12 days ago

Job description

Azure AI Foundry Specialist

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.

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

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.

Experience with LLM evaluation and monitoring.

Exposure to MLOps, CI/CD, or Azure DevOps.

Experience with invoice, contract, or form-processing use cases.

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.

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

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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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