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Intelligent Automation Jobs in Indiana (NOW HIRING)

About Carrier Carrier Global Corporation, global leader in intelligent climate and energy solutions ... As a Building Automation Hardware Engineer for Automated Logic Corporation, you will contribute to ...

... intelligent automation, and data-driven insights. The ideal candidate will bring deep technical expertise, strong analytical skills, and a proven ability to collaborate within Agile, cross-functional ...

Logistics Operations Engineer

Whiteland, IN · On-site

$69K - $94K/yr

The KNAPP Group is a global provider of intelligent automation solutions for intralogistics and manufacturing, specializing in the sectors healthcare, fashion/apparel, general retail, food retail ...

Logistics Operations Engineer

Mc Cordsville, IN · On-site

$64K - $87K/yr

The KNAPP Group is a global provider of intelligent automation solutions for intralogistics and manufacturing, specializing in the sectors healthcare, fashion/apparel, general retail, food retail ...

Showing results 21-40

Intelligent Automation information

See Indiana salary details

$35.2K

$101.9K

$155.1K

How much do intelligent automation jobs pay per year?

As of Sep 13, 2026, the average yearly pay for intelligent automation 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 intelligent automation?

An Intelligent Automation job involves designing, developing, and implementing automation solutions that combine artificial intelligence (AI), robotic process automation (RPA), and other advanced technologies to streamline business operations. Professionals in this field analyze workflows, identify automation opportunities, and create systems that improve efficiency, reduce errors, and enhance decision-making. They work with AI models, bots, and data analytics to optimize processes across various industries. This role often requires expertise in programming, machine learning, and process optimization.

What are the key skills and qualifications needed to thrive in intelligent automation?

To thrive in Intelligent Automation, you need a solid background in process analysis, business process management, and programming or scripting skills, typically backed by a degree in engineering, computer science, or a related field. Experience with Robotic Process Automation (RPA) platforms such as UiPath or Blue Prism, as well as knowledge of machine learning and AI technologies, is highly beneficial, and certifications in these tools are often preferred. Strong problem-solving abilities, analytical thinking, and effective communication are essential soft skills for working across departments and translating business needs into technical solutions. These competencies are crucial for driving successful automation initiatives that improve efficiency, reduce errors, and add value to organizations.

What are some of the typical challenges faced in an intelligent automation role?

Professionals in Intelligent Automation roles frequently encounter challenges such as identifying the right processes for automation, managing changing business requirements, and ensuring seamless integration with existing IT infrastructure. Navigating organizational change and gaining buy-in from stakeholders are also common hurdles, as automation can significantly impact workflows and job roles. Successful practitioners typically work closely with business analysts, IT teams, and process owners to address these issues and implement scalable solutions. Overcoming these challenges requires a mix of technical expertise, adaptability, and strong interpersonal skills, all of which contribute to delivering impactful automation outcomes.

What job categories do people searching Intelligent Automation jobs in Indiana look for?

The top searched job categories for Intelligent Automation jobs in Indiana are:

Infographic showing various Intelligent Automation job openings in Indiana as of August 2026, with employment types broken down into 8% Internship, and 92% Full Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $101,938 per year, or $49 per hour.

Clinical Technologist _ AI Solutions Focus

Indianapolis, IN • On-site

Other

Posted 9 days ago


Job description

Job Title:Clinical Technologist - AI Solutions Focus
Location: Indianapolis, IN Onsite
Duration: 6 months
Experience:8-10 Yeasr

Role Descriptions:
Position Summary
The Clinical Technologist - AI Solutions Focus serves as the bridge between clinical business processes, technology solutions, and emerging Artificial Intelligence capabilities. This role partners with clinical operations, business stakeholders, vendors, and technology teams to identify opportunities where AI-driven solutions can improve efficiency, decision-making, data quality, and user experience across the clinical ecosystem.
The individual will maintain deep expertise in clinical technologies while acting as an AI champion, helping evaluate, implement, govern, and optimize AI-enabled tools and platforms that support clinical trial operations, data review, study execution, and business processes.
Key Responsibilities
Clinical Technology Leadership
• Serve as a subject matter expert for clinical technology platforms and business processes.
• Partner with stakeholders to understand clinical workflows, challenges, and technology needs.
• Drive technology solutions that improve operational efficiency and data quality.
• Support implementation, enhancement, and lifecycle management of clinical applications.
• Collaborate with vendors and internal teams to ensure solutions align with business objectives.
AI Enablement and Innovation
• Identify opportunities to leverage Artificial Intelligence, Generative AI, Machine Learning, and intelligent automation within clinical processes.
• Evaluate emerging AI tools and technologies for potential business value and feasibility.
• Partner with development teams to define AI use cases, requirements, and success criteria.
• Assist in the design, testing, validation, and deployment of AI-enabled solutions.
• Promote responsible AI adoption in accordance with company governance, security, privacy, and compliance standards.
• Develop business cases demonstrating the value and impact of AI-driven capabilities.
Product and Solution Management
• Translate business requirements into technical specifications and user stories.
• Participate in roadmap planning for AI-enabled clinical products and services.
• Monitor solution performance and identify enhancement opportunities.
• Support user acceptance testing, validation activities, and release management.
Change Management & Adoption
• Act as an AI advocate and trusted advisor for business stakeholders.
• Provide guidance, training, and best practices for AI solution adoption.
• Create documentation, user guides, and educational materials.
• Measure adoption metrics and business outcomes to drive continuous improvement.
Data & Analytics
• Collaborate with data engineering and analytics teams to ensure data readiness for AI initiatives.
• Support data quality, data governance, and information management practices.
• Leverage analytics and insights to identify trends, risks, and optimization opportunities.
Required Qualifications
• Bachelor's degree in Information Technology, Computer Science, Health Informatics, Life Sciences, Engineering, or a related field.
• Experience supporting clinical, healthcare, life sciences, or regulated technology environments.
• Strong understanding of clinical business processes and technology solutions.
• Experience gathering requirements and partnering with business stakeholders.
• Excellent analytical, communication, and problem-solving skills.
• Demonstrated ability to lead cross-functional initiatives.
Preferred Qualifications
• Experience with Artificial Intelligence, Generative AI, Machine Learning, or intelligent automation technologies.
• Familiarity with Large Language Models (LLMs) such as Microsoft Copilot, Azure OpenAI, Claude, ChatGPT, or similar platforms.
• Understanding of AI governance, responsible AI principles, privacy, security, and compliance considerations.
• Knowledge of clinical trial systems, clinical data management, or life sciences technology ecosystems.
• Experience with cloud platforms such as Azure or AWS.
• Experience developing AI use cases, proof-of-concepts, or innovation initiatives.
Key Success Measures
• Successful identification and implementation of AI-driven business improvements.
• Increased efficiency and productivity within clinical processes.
• Adoption and effective utilization of AI-enabled tools.
• Positive stakeholder engagement and user satisfaction.
• Delivery of scalable, compliant, and secure technology solutions.
• Contribution to innovation and digital transformation objectives.