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Ai Platform Engineer Jobs in Indiana (NOW HIRING)

Cox Communications, Inc.

Software Engineer II

Carmel, IN · On-site +1

$89K - $134K/yr

Company Cox Automotive - USA Job Family Group Engineering / Product Development Job Profile ... Develop expertise in AI platform concepts: RAG, knowledge ingestion, embeddings, agent ...

Relativity

Software Engineer

Indianapolis, IN · On-site

Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information ... WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI ...

Merchants Bancorp

AI Enablement Specialist

Carmel, IN · On-site

Experience with Microsoft Copilot, Copilot Studio, Claude, Power Platform, or comparable AI platforms. * Understanding of prompt engineering, retrieval-based AI systems, and agent design concepts.

Cox Communications, Inc.

Sr Software Engineer

Carmel, IN · On-site +1

$101K - $169K/yr

AI Platform Engineering & Product Development * Own and evolve the AI Artifact Hub - harden the product, improve reliability, and ship features that make it a core part of how the org builds with AI.

The AES Group

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Microsoft Fabric Data Engineer Location: Indianapolis, IN. Let's create our future together at The ... Our client is building a governed data and AI platform, integrating device, laboratory, partner ...

Major Tool & Machine

AI Engineer

Indianapolis, IN · On-site

Position Title: AI Engineer Position Summary: The AI Engineer is an experienced technical ... Python proficiency and experience with major ML frameworks and AI platforms * Experience in a ...

Precinmac

AI Engineer

Indianapolis, IN · On-site

Position Title: AI Engineer Position Summary: The AI Engineer is an experienced technical ... Python proficiency and experience with major ML frameworks and AI platforms * Experience in a ...

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Ai Platform Engineer information

See Indiana salary details

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How much do ai platform engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai platform engineer in Indiana is $60.86, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $70.24 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

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

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

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

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

What cities in Indiana are hiring for Ai Platform Engineer jobs?

Cities in Indiana with the most Ai Platform Engineer job openings:

Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Indiana as of August 2026, with employment types broken down into 56% Full Time, 41% Part Time, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $126,583 per year, or $60.9 per hour.

Server Virtualization Platform Operations Engineer

EXOS (formerly Sondhi Solutions)

Indianapolis, IN

Full-time

Re-posted 15 days ago

Job description

Position Overview: 

Our client is seeking multiple Server Virtualization Platform Operations Engineers with experience supporting and managing enterprise VMware ESX-based Infrastructure as a Service capabilities both on-premises and in Microsoft Azure.

The ideal candidate will play a critical role in maintaining system stability, automating operational tasks, and ensuring high availability for critical workloads. This role will leverage modern AI automation tools such as Claude Code, Codex, or similar technologies to improve efficiency and streamline engineering workflows.

This position is responsible for supporting mission-critical infrastructure operating across multiple datacenters and enterprise environments. The engineer will help improve platform availability, reliability, observability, and automation while supporting large-scale virtualization services and infrastructure operations. The role will also provide mentorship and technical direction to global operations teams and infrastructure subject matter experts.

Responsibilities:

  • Support and manage enterprise VMware ESX-based Infrastructure as a Service environments across on-premises and Microsoft Azure platforms.
  • Maintain system stability, availability, and performance of virtualized infrastructure services.
  • Drive infrastructure automation initiatives using AI Operations, event-driven automation, and observability solutions.
  • Improve infrastructure resiliency through repeatable operational patterns and architectural enhancements.
  • Support multi-datacenter virtualization environments including replication and disaster recovery capabilities.
  • Lead operational improvements that reduce recurring incidents and enhance platform reliability.
  • Collaborate with global engineering and operations teams to deliver enterprise infrastructure services.
  • Provide technical leadership, mentoring, and knowledge sharing across infrastructure teams.
  • Develop and maintain automation solutions using scripting and infrastructure as code methodologies.
  • Implement proactive monitoring, predictive analytics, and observability capabilities.

Qualifications: 
  • Bachelor's degree in Computer Science, Information Technology, or a related technical field.
  • Minimum of 4 years of experience as a VMware ESX or Platform Engineer.
  • Strong experience managing enterprise scale VMware vSphere environments.
  • Demonstrated experience with automated infrastructure availability and resiliency solutions.
  • Experience supporting virtualized Windows and Linux operating systems.
  • Experience leveraging AI enabled automation tools such as Claude Code, Codex, or similar platforms to streamline engineering workflows and improve operational efficiencies.
  • Experience providing technical leadership in enterprise infrastructure environments.
  • Strong analytical, problem solving, and communication skills.
  • Ability to work effectively with global and diverse teams.
  • Deep understanding of networking concepts including VLANs and trunking.
  • Experience configuring and managing VMware networking components including Distributed Switches.
  • Experience leading operations within large scale global VMware infrastructure environments.