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Ai Automation Engineer Jobs in Indiana (NOW HIRING)

Sargent & Lundy

Substation Engineer 2 - Grid

Indianapolis, IN · Hybrid

$94K - $120K/yr

AI & Automation at Sargent & Lundy In this role, we expect people to be willing or able to solve problems using modern tools: * You are expected to take engineering problems from issue to solution ...

Lasting Change, Inc

AI Engineer

Fort Wayne, IN · On-site

The AI Engineer is Lasting Change's first dedicated AI role, joining an established Data ... Agentic Workflows & Process Automation * Design and deploy agentic workflows that automate multi ...

Lasting Change Inc

AI Engineer

Fort Wayne, IN

Agentic Workflows & Process Automation * Design and deploy agentic workflows that automate multi ... Contribute to AI engineering standards and tooling choices that can scale as the organization ...

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Showing results 41-60

All JobsAi Automation Engineer JobsAi Automation Engineer Jobs in Indiana

Ai Automation Engineer information

See Indiana salary details

$35.2K

$101.9K

$155.1K

How much do ai automation engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai automation engineer in Indiana is $101,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,300.00 and $117,500.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.
What are popular job titles related to Ai Automation Engineer jobs in Indiana? For Ai Automation Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Automation Engineer jobs in Indiana look for? The top searched job categories for Ai Automation Engineer jobs in Indiana are:
What cities in Indiana are hiring for Ai Automation Engineer jobs? Cities in Indiana with the most Ai Automation Engineer job openings:
Ai Automation Engineer jobs near you
Infographic showing various Ai Automation Engineer job openings in Indiana as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $101,938 per year, or $49 per hour.

Server Virtualization Platform Operations Engineer

EXOS (formerly Sondhi Solutions)

Indianapolis, IN

Full-time

Posted 17 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.