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Ai Infrastructure Jobs in Indiana (NOW HIRING)

Pfizer

Model serving infrastructure, low-latency inference, auto-scaling, and multi-region deployment for production models. * Agentic AI runtime, the infrastructure layer that supports autonomous AI agents ...

Traction Ag, Inc.

Principal AI Systems Engineer

Auburn, IN · On-site +1

$170K - $190K/yr

Evaluate AI vendors, infrastructure, and deployment patterns for security and scalability * Design human-in-the-loop workflows, auditability, and operational safeguards * Ensure customer financial ...

SUSE

You must build consensus across matrixed organizations to move sales from "selling Linux" to "selling AI Infrastructure ROI." * Global Event Strategy (Analytical Reasoning - Proficient): Lead SUSE ...

Motorola

Own the entire engineering lifecycle for central, reusable computer vision models and foundational AI infrastructure. This includes establishing best-in-class MLOps practices for scalable training ...

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Ai Infrastructure information

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$26

$56

$83

How much do ai infrastructure jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for ai infrastructure in Indiana is $56.32, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $65.62 per hour, depending on experience, location, and employer.

What is the difference between Ai Infrastructure vs Data Engineer?

AspectAi InfrastructureData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI toolsBachelor's in CS, Data Science, or related; programming and database skills
Work EnvironmentCloud environments, AI model deployment, infrastructure setupData pipelines, database management, data processing
Employer & Industry UsageTech companies, AI startups, cloud providersTech firms, finance, healthcare, e-commerce

Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.

How much do AI infrastructure engineers make?

AI infrastructure engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and hardware optimization can earn higher salaries, often exceeding $180,000 per year.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.

What are the key skills and qualifications needed to thrive in AI Infrastructure, and why are they important?

To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the high total compensation.

What are common challenges faced by professionals working in AI Infrastructure roles, and how can they be addressed?

Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.

What is AI Infrastructure?

AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.

What engineer makes $500,000 a year?

Senior AI infrastructure engineers or machine learning engineers with extensive experience, specialized skills, and advanced certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. These roles often require expertise in cloud platforms, distributed systems, and deep learning frameworks, along with leadership responsibilities and a strong track record of impactful projects.
What are popular job titles related to Ai Infrastructure jobs in Indiana? For Ai Infrastructure jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Infrastructure jobs in Indiana look for? The top searched job categories for Ai Infrastructure jobs in Indiana are:
What cities in Indiana are hiring for Ai Infrastructure jobs? Cities in Indiana with the most Ai Infrastructure job openings:
Ai Infrastructure jobs near you
Infographic showing various Ai Infrastructure job openings in Indiana as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $117,141 per year, or $56.3 per hour.
Manager/Director - AI Data Center Operations

Manager/Director - AI Data Center Operations

Intelletec Energy

South Bend, IN • On-site

Other

PTO

Posted yesterday

Job description

Data Center Site Operations Leader (Manager/Director level)


We're partnering with one of the fastest-growing AI infrastructure companies building next-generation compute platforms. This is an opportunity to join a team operating at the forefront of AI and help define what world-class data center operations look like at massive scale.


What You'll Do

  • Lead 24/7 mission-critical data center operations, ensuring uptime across electrical, mechanical, cooling, and building systems.
  • Build and manage high-performing teams across facilities, hardware, and network operations.
  • Own site reliability, incident response, change management, and operational excellence initiatives.
  • Drive hardware and network repair operations, including triage, break-fix processes, and time-to-repair metrics.
  • Partner closely with construction, commissioning, and infrastructure teams as new capacity comes online.
  • Establish and scale operational playbooks, safety programs, and best practices for a rapidly expanding infrastructure footprint.
  • Serve as the escalation point for critical incidents and lead root cause analysis efforts that improve long-term reliability.


What We're Looking For

  • Experience leading Data Center operations with strict availability requirements.
  • Strong understanding of electrical and mechanical infrastructure within data centers or other mission-critical environments.
  • Proven success building and developing technical teams in high-performance environments.
  • Experience managing incident response, repair operations, and operational processes at scale.
  • Deep commitment to safety programs, including LOTO and hazardous energy control practices.
  • Comfortable operating in fast-paced environments where processes are being built alongside rapid growth.
  • Excellent written and verbal communication skills.


Nice to Have

  • Hyperscale or Tier III/IV data center experience.
  • Experience supporting GPU clusters, HPC environments, Liquid Cooling, or large-scale network infrastructure.
  • Background in commissioning, operational readiness, or CMMS/EAM systems.
  • Trade certifications or journeyman licenses in electrical, HVAC, or controls disciplines.


Why This Opportunity?

  • Work on some of the most challenging infrastructure problems in AI - Supporting to AI Labs.
  • Join a team that values ownership, speed, and first-principles thinking.
  • Help build and scale mission-critical operations from the ground up.
  • Competitive compensation package including salary, equity, comprehensive benefits, and generous PTO.

Apply