1

Contract Ai Infrastructure Engineer Jobs in Indiana

Infrastructure Engineer

Carmel, IN ยท On-site

$101K - $133K/yr

As an Infrastructure Engineer, you will own the day-to-day health, reliability, and security of ... contract. * Support the transition of infrastructure services in-house from the managed service ...

Infrastructure Engineer

Carmel, IN

$101K - $133K/yr

As an Infrastructure Engineer, you will own the day-to-day health, reliability, and security of ... contract. * Support the transition of infrastructure services in-house from the managed service ...

Cloud Infrastructure Engineer

Carmel, IN ยท On-site

$55.25 - $74/hr

... AI , and Cloud Modernization to fuel innovation. As a top-tier cloud partner, we design and deliver ... Job Summary This position is responsible for designing and delivering modern cloud infrastructure ...

Maintains, designs, implements, and supports the corporate infrastructure by identifying ... Interact and coordinate with vendors, suppliers, distributors and contract consultants * Maintain ...

Senior AI Engineer - SFL Scientific

Indianapolis, IN ยท On-site

$99K - $137K/yr

Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns * Define and lead technology proof of concepts to ensure feasibility of new data and cloud ...

next page

Showing results 1-20

Contract Ai Infrastructure Engineer information

What is the difference between Contract Ai Infrastructure Engineer vs Contract Cloud Infrastructure Engineer?

AspectContract Ai Infrastructure EngineerContract Cloud Infrastructure Engineer
Required CredentialsRelevant certifications in AI, cloud platforms, and infrastructureCertifications in cloud platforms, networking, and systems administration
Work EnvironmentAI development labs, data centers, cloud environmentsCloud service providers, enterprise data centers, remote cloud setups
Employer & Industry UsageTech companies, AI startups, research institutionsIT firms, cloud service providers, large enterprises
Common Search & Comparison IntentUnderstanding roles in AI infrastructure projectsComparing cloud infrastructure roles and responsibilities

The Contract Ai Infrastructure Engineer focuses on building and maintaining AI-specific infrastructure, including GPU clusters and AI frameworks, often within AI-focused companies. In contrast, the Contract Cloud Infrastructure Engineer specializes in managing cloud environments, networks, and systems for various enterprise needs. Both roles require cloud and infrastructure knowledge but differ in their focus areas and industry applications.

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

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

What are popular job titles related to Contract Ai Infrastructure Engineer jobs in Indiana?

For Contract Ai Infrastructure Engineer jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Contract Ai Infrastructure Engineer jobs?

Cities in Indiana with the most Contract Ai Infrastructure Engineer job openings:

Infographic showing various Contract Ai Infrastructure Engineer job openings in Indiana as of September 2026, with employment types broken down into 72% Full Time, 16% Part Time, 6% Temporary, and 6% Contract. Highlights an 90% In-person, and 10% Remote job distribution.

Infrastructure Engineer- Identity, AI & Cloud Platforms

Indianapolis, IN โ€ข On-site

$102K - $134K/yr

Full-time

Posted 12 days ago


Key responsibilities

  • Configure, administer, and troubleshoot enterprise identity solutions including Microsoft Entra ID and related identity management services.

  • Deploy, configure, and maintain cloud platform services across Azure, AWS, and GCP, including automation and infrastructure-as-code practices.

  • Develop automation solutions to improve operational efficiency, monitor infrastructure performance, and support security and compliance initiatives.


Job description

Job Location:

Corporate Indianapolis

Infrastructure Engineer - Identity, AI & Cloud Platforms

Position Summary

Simon Property Group is seeking an Infrastructure Engineer to help design, implement, administer, and support enterprise identity, artificial intelligence, and cloud infrastructure platforms. This role requires hands-on engineering experience and the ability to independently support assigned infrastructure components, troubleshoot complex technical issues, and contribute to secure, scalable platform improvements.

The ideal candidate has practical experience with cloud platforms, identity administration, automation, and infrastructure operations in an enterprise environment. This individual will partner with Cyber Security, Application Development, Data & Analytics, and Infrastructure teams to deliver reliable solutions, improve operational processes, and maintain appropriate security and governance controls.

Primary Responsibilities

Identity & Access Engineering

Configure, administer, and troubleshoot Microsoft Entra ID services and enterprise identity solutions.

Implement and maintain identity modernization capabilities including authentication, MFA, Conditional Access, SSO, RBAC, identity governance, and lifecycle management.

Develop and maintain secure integrations for enterprise applications and cloud services.

Implement identity security controls aligned with cybersecurity and compliance requirements.

Support mergers, acquisitions, tenant migrations, and enterprise onboarding initiatives.

AI Enablement & Governance

Configure, support, and monitor secure enterprise adoption of AI technologies including Microsoft Copilot, Claude, Gemini, and other emerging AI platforms.

Partner with business, security, and data teams to translate platform requirements into practical AI and infrastructure solutions.

Implement and maintain governance controls for AI agents, AI workloads, enterprise data integrations, and usage-based AI services.

Build and support AI infrastructure and enterprise integrations across platforms such as Copilot, Claude, Gemini, Azure AI services, vector search, document intelligence, and related AI capabilities.

Research emerging AI technologies and contribute to standards for enterprise adoption.

Cloud Infrastructure Engineering

Deploy, configure, and maintain enterprise cloud platform services across Azure, AWS, and GCP, or related cloud-native solutions.

Maintain secure and scalable cloud services using platform-appropriate governance, RBAC, storage, networking, monitoring, and security services across Azure, AWS, and GCP.

Implement infrastructure-as-code and automation solutions to improve reliability and speed of deployment.

Contribute to cloud modernization, migration, and integration efforts across multi-cloud and enterprise platform environments.

Monitor cloud usage, performance, and capacity trends; recommend practical improvements for cost optimization and reliability.

Automation & Operational Excellence

Develop automation solutions using PowerShell, Microsoft Graph, Azure automation services, and related technologies.

Identify repeatable operational tasks and develop automation or self-service improvements to reduce manual effort.

Monitor infrastructure performance, investigate incidents, and contribute to improvements in observability, reliability, disaster recovery, and resiliency.

Participate in technical reviews, document procedures, and provide recommendations for assigned infrastructure initiatives.

Security & Compliance

Collaborate with Cyber Security teams on cloud security, identity security, monitoring, and compliance initiatives.

Support auditing, governance, and regulatory compliance activities by maintaining documentation, evidence, and platform controls.

Ensure secure deployment of AI and cloud technologies through appropriate controls and standards.

Required Qualifications

4+ years of hands-on experience in enterprise infrastructure, cloud engineering, systems administration, or related technology roles.

Hands-on experience administering Microsoft Entra ID, identity management, authentication, MFA, Conditional Access, and access control processes.

Hands-on experience with cloud administration and engineering across Azure, AWS, GCP, or comparable enterprise cloud platforms.

Experience developing scripts or automation using PowerShell, Microsoft Graph, Azure automation services, or comparable tools.

Working knowledge of RBAC, cloud security controls, monitoring, and compliance practices in enterprise environments.

Solid understanding of enterprise networking, authentication, cloud architecture principles, troubleshooting, and operational support.

Ability to manage assigned work independently, collaborate across technical teams, and communicate recommendations clearly.

Preferred Qualifications

Experience with Microsoft Copilot, Copilot Studio, Claude, Gemini, AI agents, or related enterprise AI platforms.

Experience with Azure AI Services, AWS AI/ML services, Google Cloud AI capabilities, Claude, Gemini, Copilot, or related ML/AI workloads.

Experience with Azure DevOps, AWS-native automation, Google Cloud automation, infrastructure-as-code, or related automation technologies.

Familiarity with tenant migrations, cloud transformations, and identity modernization programs.

Microsoft or related certifications in cloud, security, identity, AI, or infrastructure technologies.