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Azure Ai Document Intelligence Jobs in Indiana (NOW HIRING)

Coforge

DDCS Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Create OCR-based document processing pipelines for scanned and handwritten PDFs using Azure AI Document Intelligence or similar tools. * Build and manage data solutions on Azure Fabric, including ...

New

Crowe LLP

Tax Artificial Intelligence Manager

South Bend, IN · On-site

$108K - $142K/yr

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

The AES Group

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Experience designing and implementing document ingestion and AI search solutions, including OCR, chunking, embeddings, vector databases, and retrieval-augmented generation (RAG) using Azure OpenAI ...

Lasting Change, Inc

AI Engineer

Fort Wayne, IN · On-site

Initial focus areas include surfacing insights from complex documentation, reducing administrative ... Microsoft Fabric, Azure AI Foundry, or equivalent best-in-class tooling strongly preferred.

Lasting Change Inc

AI Engineer

Fort Wayne, IN · On-site

Initial focus areas include surfacing insights from complex documentation, reducing administrative ... Microsoft Fabric, Azure AI Foundry, or equivalent best-in-class tooling strongly preferred.

MISO

ServiceNow ITSM Specialist

Carmel, IN · On-site

$100K - $125K/yr

Leverage ServiceNow AI capabilities, including Now Assist, Agentic AI, predictive intelligence, and document intelligence, to enhance classification, decisioning, and overall service efficiency. What ...

Onebridge

AI Developer

Indianapolis, IN · On-site

... intelligence and machine learning solutions that drive business value and innovation ... Document solutions, algorithms, and processes to support knowledge sharing and maintainability. • ...

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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.

What are popular job titles related to Azure Ai Document Intelligence jobs in Indiana? For Azure Ai Document Intelligence jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Azure Ai Document Intelligence jobs in Indiana look for? The top searched job categories for Azure Ai Document Intelligence jobs in Indiana are:
What cities in Indiana are hiring for Azure Ai Document Intelligence jobs? Cities in Indiana with the most Azure Ai Document Intelligence job openings:
Azure Ai Document Intelligence jobs near you
Infographic showing various Azure Ai Document Intelligence job openings in Indiana as of July 2026, with employment types broken down into 72% Full Time, 18% Part Time, and 10% Contract. Highlights an 58% Physical, 4% Hybrid, and 38% Remote job distribution.
DDCS Data Engineer

DDCS Data Engineer

Coforge

Indianapolis, IN • On-site

$109K - $131K/yr

Other

This job post has expired today. Applications are no longer accepted.

Coforge rating

6.8

Company rating: 6.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

164th of 230 rated it services

Job description

Job Title: DDCS Data Engineer

Key Skills: Delivery, Devices, and Connected Solutions (DDCS), Microsoft Azure Fabric (Lakehouse, Data Factory, Fabric Pipelines), Delta Lake, Azure Data Factory, Azure Blob Storage, Azure Functions, Azure AI Services, Azure RBAC, Managed Identities, Key Vault.

Experience: 8-10 Years’ experience

Location: Indiana Polis, Indiana


We at Coforge are hiring experienced professionals with strong experience in Azure Fabric-based data pipelines, API integrations, AI/RAG document ingestion solutions, and PostgreSQL data platforms to support Lilly's regulated data and AI ecosystem.


Key Responsibilities:

  • Design, build, and maintain data ingestion pipelines using Microsoft Azure Fabric Lakehouse and PostgreSQL.
  • Develop ETL/ELT pipelines with data validation, quality checks, audit trails, and controlled data governance.
  • Build MCP connectors and AI-powered document ingestion pipelines for SharePoint, OneDrive, Veeva, Jama, and other document sources.
  • Implement RAG (Retrieval-Augmented Generation) solutions using document chunking, embeddings, vector databases, and LLMs.
  • Develop REST API integrations with OAuth authentication, pagination, schema management, and error handling.
  • Create OCR-based document processing pipelines for scanned and handwritten PDFs using Azure AI Document Intelligence or similar tools.
  • Build and manage data solutions on Azure Fabric, including Fabric Data Factory, Lakehouse, Delta Lake, and Fabric Pipelines.
  • Develop and support AWS-based data integrations using S3, Lambda, API Gateway, Glue, and RDS/Aurora.
  • Design and implement PostgreSQL Gold-layer schemas, data models, lineage tracking, and governance frameworks.
  • Develop production-grade solutions using Python, PySpark, Docker, CI/CD, and Git.
  • Implement data quality monitoring, operational alerting, and pipeline documentation.
  • Integrate Azure OpenAI/LLM APIs into enterprise AI search and knowledge retrieval solutions.
  • Ensure compliance with GxP, ALCOA+, 21 CFR Part 11, and enterprise security standards.
  • Collaborate with architects and stakeholders on schema evolution, data modeling, and platform scalability.


Required Skills & Experience

  • Microsoft Azure Fabric (Lakehouse, Data Factory, Delta Lake), Python / PySpark, ETL/ELT Pipeline Development, PostgreSQL & SQL, REST APIs & OAuth, Azure OpenAI, RAG & Vector Search.
  • Document Ingestion, OCR & AI Search, Azure AI Services & Azure Data Factory, AWS (S3, Lambda, API Gateway, Glue), Data Modeling & Medallion Architecture.
  • Docker, CI/CD & Git, MCP Connectors, Data Lineage, Audit Trail & Data Governance, ALCOA+, GxP, 21 CFR Part 11 Compliance, Production-Grade Data Engineering Experience (5+ Years).


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