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Ai Automation Engineer Jobs in Indiana (NOW HIRING)

This means you have countless ways to make a difference as a AI Automation Engineer II . Being a part of something this great starts by carrying out our mission every day through your true calling ...

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$168K - $315K/yr

We're looking for a Lead, AI Engineering & SDLC Automation (Director) to define and lead PSD's AI-enabled engineering automation strategy, roadmap, and delivery function. This role will lead a team ...

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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:
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.

Enterprise AI & Automation Engineer

Indiana Tech

Fort Wayne, IN • On-site

Full-time

Posted 13 days ago


Job description

Indiana Tech is a thriving, independent, teaching-oriented university that delivers career-oriented programming in a wide variety of disciplines that includes business, engineering, computer sciences, criminal justice, cybersecurity, marketing, health sciences, communication and helping professions. Indiana Tech enrolls nearly 1,500 students in its traditional undergraduate programs on its picturesque main campus, and nearly 5,000 students in its adult and online program. We offer degrees at the associate, bachelor's, master's, and doctoral levels and undergraduate and graduate certificates.
Over 41% of our students are either globally or domestically diverse; this contributes to our unique vibrant and inclusive campus community. All academic programs are designed to provide students with relevant and practical experiences, including an emphasis on internships. The university is accredited by the Higher Learning Commission.
Indiana Tech is committed to fostering a welcoming and respectful environment for all. We actively support the recruitment, engagement, and retention of students, faculty, and staff from a wide range of experiences, backgrounds, and perspectives. We believe that creating a sense of connection and support across our campus community plays an essential role in preparing students to succeed and contribute in a global society.
Indiana Tech has big plans for its future. Learn more at Indiana Tech Strategic Plan or strategicplan.indianatech.edu.
At Indiana Tech, we are committed to exploring and responsibly leveraging artificial intelligence to enhance learning, strengthen operational excellence, and empower our campus community. As AI continues to transform higher education, we are investing in innovative technologies, automation opportunities, and data-informed solutions that improve the experiences of students, faculty, and staff. Tech seeks to hire the first Enterprise AI & Automation Engineer.
The Enterprise AI & Automation Engineer serves as a technical resource within the IT Services department and is responsible for supporting the planning, development, implementation, and support of artificial intelligence, including agentic AI, automation, workflow improvement, and enterprise technology solutions that improve University operations. The position uses a forward-deployed, department-facing approach, working directly with university stakeholders to understand needs, develop practical solutions, and support successful implementation.
The position works with academic and administrative departments to understand operational needs, recommend appropriate technology solutions, and assist with the implementation of secure, supportable, and effective systems. The role considers the university's existing technology environment while maintaining awareness of broader enterprise platforms, integration options, and emerging AI and automation practices.
The Enterprise AI & Automation Engineer assists the University in moving approved technology opportunities from concept to implementation in a thoughtful, secure, and measurable manner while supporting institutional standards for data governance, information security, privacy, accessibility, and responsible use of technology.
The Enterprise AI & Automation Engineer serves as a technical liaison between IT Services and campus departments by gathering information, documenting business needs, defining requirements, and recommending practical technology solutions. This role designs, prototypes, implements, and supports AI, automation, workflow, reporting, integration, and agentic AI solutions that assist with task execution, workflow automation, decision support, service delivery, and other approved institutional use cases. The position supports the effective use of approved institutional systems, cloud services, automation platforms, collaboration tools, and related technologies while considering interoperability, long-term supportability, cost, risk, and alignment with institutional needs.
The Enterprise AI & Automation Engineer analyzes business processes to identify opportunities to reduce manual work, improve service delivery, strengthen decision-making, and create reusable technology patterns across the University. The role assists with integrating solutions with enterprise systems, data sources, application programming interfaces (APIs), identity services, reporting platforms, and campus applications in accordance with institutional architecture and support expectations. In addition, the position ensures that all solutions are developed and maintained in compliance with university expectations for data governance, information security, privacy, accessibility, FERPA, records retention, and the responsible use of artificial intelligence.
The successful candidate develops documentation, standards, training materials, and best practices that support the consistent and effective adoption of AI, automation, and enterprise technology solutions. The role participates in solution intake, prioritization, feasibility reviews, risk assessments, and value analysis in collaboration with IT leadership and appropriate governance groups. The Enterprise AI & Automation Engineer also provides training, workshops, demonstrations, documentation, knowledge transfer, and post-implementation support to enable campus stakeholders to identify, develop, and sustain approved agentic AI, automation, and technology-enabled process improvements. Finally, the position monitors supported solutions for reliability, usability, performance, security, adoption, and continued alignment with stakeholder and institutional needs.
Qualifications
A bachelor's degree in information technology, computer science, information systems, data analytics, business technology, or a related field is required; an equivalent combination of education and experience may be considered. The successful candidate will possess knowledge of current technological developments and trends related to artificial intelligence, automation, enterprise applications, data integration, and information systems, along with a working knowledge of enterprise technology platforms, cloud services, automation tools, collaboration systems, and related technologies used to support institutional operations. The candidate must demonstrate the ability to coordinate and support the development, enhancement, integration, and implementation of technology solutions from an institutional information services perspective, as well as the ability to interpret business needs, document requirements, evaluate solution options, and communicate effectively with both technical and non-technical stakeholders. Knowledge of application integration, data management, workflow automation, scripting, reporting, security, and identity/access management concepts preferred. Strong analytical, problem-solving, documentation, facilitation, interpersonal, and communication skills are essential. An understanding of data governance, privacy, accessibility, FERPA, information security, and the responsible use of institutional data is preferred.
Experience
Candidates should possess three to seven years of experience directly related to the duties and responsibilities of the position. Experience with agentic AI or AI coworker platforms, IT systems implementation, application development, automation, systems integration, business analysis, solution architecture, or enterprise application support is preferred. Experience in higher education, student information systems, learning management systems, CRM platforms, ERP systems, data governance, or regulated data environments is also preferred.
*Application materials must include a cover letter and resume. Applicants must be prepared to provide a written response to Tech's vision and mission statements. The position remains open until filled; a review of candidates will commence as application materials are received.