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Azure Ai Engineer Remote Jobs in Indiana (NOW HIRING)

TrueScripts

Data Engineer

IN · On-site +1

$98K - $118K/yr

Support AI, machine learning, and advanced analytics initiatives through the delivery of trusted and accessible data assets. * Stay current with Microsoft Azure services, modern data engineering ...

Silvertech LLC

Site Reliability Engineer III

Bedford, IN · On-site +1

$51 - $67.75/hr

... fully remote within the U.S. What You'll Do Hosting Operations & Reliability * Own day-to-day ... Manage Azure services (App Services, Azure SQL, Key Vaults, Application Insights) and legacy AWS ...

DataAnnotation

Programmer - AI Trainer

Fort Wayne, IN · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

S&S's Customer Information Systems

Our engineers use AI coding tools daily, and we've built some of our own internal tooling around ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

CMP.jobs

Sr DevOps Engineer

Indianapolis, IN · Remote

$123K - $158K/yr

Sr. DevOps Engineer 100% Remote Position We have built a cloud-based policy administration platform ... Azure / GCP (Google Cloud is preferred) ● Knowledge of containerization technologies such as ...

CMP.jobs

Senior DevOps Engineer

Indianapolis, IN · Remote

$123K - $158K/yr

DevOps Engineer 100% Remote Position We have built a cloud-based policy administration platform ... Azure / GCP (Google Cloud is preferred) ● Knowledge of containerization technologies such as ...

Preventia

Software Developer

Indianapolis, IN · On-site +1

We have a flexible work environment with a mixture of remote work and in office hours ... Experience with cloud native applications in Azure, AWS, etc. * Experience with HIPAA secure health ...

Deloitte

Epic Denials Manager

Indianapolis, IN · Remote

Work you'll do Epic Denials Manager on the AI & Engineering team, you will be responsible for the ... This is a remote role with minimal travel requirements. A successful candidate would possess these ...

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Azure Ai Engineer Remote information

What is an Azure AI engineer?

Azure AI Engineers are professionals who design, build, and deploy artificial intelligence solutions using Microsoft Azure's suite of AI services. They work with data scientists, developers, and stakeholders to integrate AI capabilities such as computer vision, natural language processing, and machine learning into cloud-based applications. Their responsibilities often include managing Azure AI resources, optimizing models for performance and scalability, and ensuring solutions align with business needs, all while working remotely.

How do Azure AI engineers typically collaborate with cross-functional teams in a remote setting?

As an Azure AI Engineer working remotely, you'll frequently collaborate with data scientists, software developers, and project managers through virtual meetings and cloud-based project management tools. Effective communication is crucial, as you'll need to translate complex AI solutions into actionable insights for both technical and non-technical stakeholders. You may participate in daily stand-ups, code reviews, and collaborative design sessions to ensure alignment on project goals and integration of AI models into larger cloud architectures. Remote work often requires strong self-management skills and proactive sharing of progress to maintain team cohesion.

What are the key skills and qualifications needed to thrive as an Azure AI engineer remote, and why are they important?

To thrive as an Azure AI Engineer (Remote), you need expertise in AI/ML concepts, programming languages like Python, and experience with cloud platforms, especially Microsoft Azure, often supported by a degree in computer science or a related field. Familiarity with Azure AI services (such as Azure Machine Learning, Cognitive Services), DevOps tools, and certifications like Microsoft Certified: Azure AI Engineer Associate are typically required. Strong problem-solving, communication, and collaboration skills are essential for remote teamwork and project delivery. These abilities ensure effective design, deployment, and management of AI solutions that meet business objectives in distributed environments.

What is the difference between Azure Ai Engineer Remote vs Data Scientist Remote?

AspectAzure Ai Engineer RemoteData Scientist Remote
Required CredentialsAzure certifications, AI/ML knowledgeStatistics, programming, data analysis skills
Work EnvironmentCloud platforms, AI development toolsData analysis, modeling, research environments
Employer & Industry UsageTech companies, AI-focused firmsResearch institutions, tech companies, finance
Search & Comparison IntentUnderstanding role differences, job requirementsCareer options, skill overlaps

Azure Ai Engineer Remote focuses on developing and deploying AI solutions using Azure cloud services, requiring certifications like Azure AI Engineer Associate. Data Scientist Remote emphasizes analyzing data, building models, and deriving insights, often with statistical and programming skills. While both roles involve data and AI, Azure Ai Engineers are more cloud and deployment-oriented, whereas Data Scientists focus on analysis and research.

What are the most commonly searched types of Azure Ai Engineer jobs in Indiana?

The most popular types of Azure Ai Engineer jobs in Indiana are:

What are popular job titles related to Azure Ai Engineer Remote jobs in Indiana?

For Azure Ai Engineer Remote jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Azure Ai Engineer Remote jobs in Indiana look for?

The top searched job categories for Azure Ai Engineer Remote jobs in Indiana are:

What cities in Indiana are hiring for Azure Ai Engineer Remote jobs?

Cities in Indiana with the most Azure Ai Engineer Remote job openings:

Azure Ai Engineer Remote jobs near you

Data Engineer

TrueScripts

IN • On-site, Remote

$98K - $118K/yr

Full-time

Posted 15 days ago

Job description

Company Overview
TrueScripts Management Services provides prescription benefit management expertise at a personal and customized level to ensure optimum value at the lowest possible cost for clients across the United States.
The Information Technology team supports this mission by delivering secure, scalable, cloud-native technology solutions that improve business operations, enable efficient data exchange, and support future growth in analytics and artificial intelligence.
Position Summary
The Data Engineer is responsible for designing, building, deploying, and supporting cloud-native data platforms, integrations, and data pipelines that enable secure and reliable data exchange between internal applications, external business partners, operational systems, and analytics platforms.
This role serves as a key technical resource supporting Application Engineers, business stakeholders, and external trading partners by ensuring data is accessible, trusted, secure, and available where and when it is needed. The Data Engineer works closely with software development teams to deliver scalable data services, integration frameworks, and operational data solutions within Microsoft Azure.
The ideal candidate combines strong technical expertise in data integration and cloud technologies with a practical understanding of business processes, application architecture, and healthcare data exchange.
Responsibilities
  • Design, develop, deploy, and support cloud-native data solutions within Microsoft Azure.
  • Build and maintain scalable data ingestion, transformation, and orchestration pipelines using Azure services and modern integration patterns.
  • Develop and support integrations between internal applications, third-party vendors, clients, healthcare partners, and other external data trading partners.
  • Design and implement APIs, file exchange processes, and system-to-system integrations that support business operations and application development.
  • Collaborate closely with Application Engineers to design data access patterns, integration architectures, and reusable data services.
  • Create and maintain operational data models that support application functionality and business processes.
  • Build and support Azure-based storage platforms, databases, and data services that enable application and analytics workloads.
  • Develop secure processes for exchanging data through APIs, flat files, SFTP, EDI transactions, healthcare interoperability standards, and other integration mechanisms as required.
  • Support real-time and near real-time data processing requirements where business needs warrant.
  • Design and implement monitoring, alerting, logging, and recovery processes for data pipelines and integrations.
  • Troubleshoot and resolve data quality, integration, performance, and reliability issues across development, test, and production environments.
  • Develop automation solutions that improve reliability, consistency, and operational efficiency.
  • Maintain documentation for integrations, data flows, APIs, pipelines, and supporting technologies.
  • Participate in architecture discussions and contribute recommendations related to scalability, reliability, performance, interoperability, and security.
  • Utilize source control, CI/CD pipelines, and DevOps practices to support reliable deployment and maintenance of data solutions.
  • Ensure compliance with company security standards and regulatory requirements related to healthcare and sensitive information.
  • Support AI, machine learning, and advanced analytics initiatives through the delivery of trusted and accessible data assets.
  • Stay current with Microsoft Azure services, modern data engineering practices, and emerging technologies.

Requirements
Qualifications
Required
  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field preferred, or equivalent professional experience.
  • Minimum of five years of professional experience in data engineering, data integration, application development, or a related technical discipline.
  • Strong experience with Microsoft SQL Server and advanced SQL development.
  • Experience building and supporting ETL/ELT processes and large-scale data integrations.
  • Experience designing and implementing cloud-based solutions within Microsoft Azure.
  • Experience with Azure Data Factory, Azure SQL, Storage Accounts, Azure Functions, Logic Apps, or similar Azure services.
  • Experience developing and consuming RESTful APIs and modern integration technologies.
  • Strong understanding of relational database design, data integration patterns, and data lifecycle management.
  • Experience working with source control and DevOps platforms such as Azure DevOps and Git.
  • Ability to troubleshoot complex technical issues involving data movement, integrations, and system interoperability.
  • Strong analytical thinking, problem-solving skills, and attention to detail.
  • Strong written and verbal communication skills with both technical and non-technical stakeholders.
  • Ability to work independently and collaboratively in a team environment.

Preferred Qualifications
  • Experience with Microsoft Fabric, Azure Synapse Analytics, Databricks, or similar cloud data platforms.
  • Experience supporting healthcare, pharmacy benefit management, claims processing, or highly regulated industries.
  • Familiarity with HIPAA, PHI, PII, and healthcare data security requirements.
  • Experience working with healthcare interoperability standards such as FHIR, HL7, NCPDP, or EDI transactions.
  • Experience with Python, PowerShell, C#, or other scripting and automation technologies.
  • Experience with event-driven architectures, messaging platforms, and asynchronous integration patterns.
  • Familiarity with Azure Service Bus, Event Grid, Event Hubs, or related technologies.
  • Experience supporting machine learning, AI, or advanced analytics initiatives.
  • Experience with AI-assisted development tools such as GitHub Copilot, Claude Code, Devin, or Windsurf.
  • Experience operating within Agile or iterative software delivery environments.

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