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Azure Ai Document Intelligence Jobs (NOW HIRING)

Inficare Technologies

AI Engineer - Generative AI

... document intelligence platforms, multimodal AI applications, and scalable AI APIs using Azure OpenAI and Python. Key Responsibilities * Design, develop, and deploy enterprise Generative AI ...

New

ZEUS SOLUTIONS INC

AI Architect

Houston, TX · On-site

$58.75 - $76.50/hr

Develop Generative AI solutions including enterprise copilots, intelligent assistants, document intelligence, and knowledge management systems. Leverage Azure AI Search, vector databases, Semantic ...

ZEUS SOLUTIONS INC

AI Architect

Houston, TX · On-site

$58.75 - $76.50/hr

Develop Generative AI solutions including enterprise copilots, intelligent assistants, document intelligence, and knowledge management systems. Leverage Azure AI Search, vector databases, Semantic ...

ZEUS SOLUTIONS INC

AI Architect

Houston, TX · On-site

$58.75 - $76.50/hr

Develop Generative AI solutions including enterprise copilots, intelligent assistants, document intelligence, and knowledge management systems. Leverage Azure AI Search, vector databases, Semantic ...

Resource Consultings Services Inc

AI Architect IV

Houston, TX · On-site

$60.75 - $79/hr

Develop Generative AI solutions including enterprise copilots, intelligent assistants, document intelligence, and knowledge management systems. * Leverage Azure AI Search, vector databases, Semantic ...

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 ...

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 ...

Point C

OR

Azure AI Services - Experience with Azure OpenAI, Cognitive Services, AI Search, Document Intelligence, or similar * CRM platform experience - Building or customizing CRM systems * Frontend framework ...

New

nFolks Data Solutions

AI Architect-Houston, TX

Houston, TX · On-site

$60.75 - $79/hr

Develop Generative AI solutions including enterprise copilots, intelligent assistants, document intelligence, and knowledge management systems. * Leverage Azure AI Search, vector databases, Semantic ...

Compunnel

AI Engineering / GenAI Lead

Chicago, IL · On-site

$105K - $139K/yr

... RAG) solutions and document intelligence applications. • Integrate LLMs with ML models ... Azure AI services, including Azure OpenAI, Azure Machine Learning, Azure Functions, and Azure ...

New

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 ...

Point C

Software Engineer - .NET / Azure / AI

Azure AI Services - Experience with Azure OpenAI, Cognitive Services, AI Search, Document Intelligence, or similar * CRM platform experience - Building or customizing CRM systems * Frontend framework ...

New

CGI Inc.

AI Software Developer

New Brunswick, NJ · On-site

Experience with Intelligent Document Processing (IDP) solutions such as Azure AI Document Intelligence. . Experience deploying AI solutions on cloud platforms including Azure, AWS, or Google Cloud.

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Showing results 21-40

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.

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 August 2026, with employment types broken down into 11% Internship, 68% Full Time, 16% Part Time, and 5% Contract. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution.

AI Engineer - Generative AI

Inficare Technologies

Remote

Full-time

Posted 2 days ago

New

Job description

Job Title: AI Engineer - Generative AI
Location: Canada or Mexico (Remote)
Job Type: Contract
Experience: 5-10 years software development; 2-4 years hands-on Generative AI
Shift: 1:00 PM - 9:00 PM PST
Job Overview
We are seeking an experienced AI Engineer specialising in Generative AI to design, develop, and deploy enterprise-grade AI applications powered by Large Language Models (LLMs). The ideal candidate will have hands-on experience building Retrieval-Augmented Generation (RAG) solutions, document intelligence platforms, multimodal AI applications, and scalable AI APIs using Azure OpenAI and Python.
Key Responsibilities
  • Design, develop, and deploy enterprise Generative AI applications using Azure OpenAI Services
  • Build RAG pipelines using embeddings and vector databases
  • Develop scalable REST APIs using FastAPI and Flask
  • Integrate Vision LLMs for image, document, and multimodal understanding
  • Build document processing pipelines using PyMuPDF for PDF extraction and parsing
  • Implement semantic search using FAISS Vector Database
  • Engineer prompts and optimise LLM responses for enterprise use cases
  • Develop AI-powered chatbots, document Q&A, summarisation, and intelligent automation solutions
  • Implement monitoring and evaluation frameworks using Opik or similar LLM observability tools
  • Ensure AI applications follow security, governance, and responsible AI best practices
Required Skills
  • Generative AI: LLMs, Prompt Engineering, RAG, Embeddings, Semantic Search, AI Agents, Function Calling, Model Evaluation
  • Cloud & AI Platforms: Azure OpenAI Service, Azure AI Services, Azure Storage
  • Programming: Python (Advanced), FastAPI, Flask, REST API Development, Async Programming
  • AI Frameworks: LangChain, LlamaIndex, PyMuPDF, FAISS, Vision LLMs, OpenAI SDK
  • Dev Tools: VS Code, PyCharm, Git, GitHub / Azure DevOps, Docker
  • Observability: Opik, LLM Monitoring, Experiment Tracking, Performance Benchmarking
Preferred Skills
  • LangGraph, AutoGen / CrewAI, Azure AI Search, Cosmos DB, PostgreSQL, Redis, Kubernetes, MLflow, Hugging Face, OCR (Azure Document Intelligence, Tesseract), CI/CD pipelines, MLOps, Transformers, Azure Cognitive Search, Azure Functions
Location & Work Model
Fully remote - open to candidates based in Canada or Mexico. Shift: 1:00 PM - 9:00 PM PST (please confirm availability before applying).
Engagement Details
Contract engagement. Duration to be confirmed upon selection.

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