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Ai Automation Testing Jobs in Indiana (NOW HIRING)

Lasting Change Inc

AI Engineer

Fort Wayne, IN

Agentic Workflows & Process Automation * Design and deploy agentic workflows that automate multi ... testing. * Stay current with developments in AI research and tooling; evaluate and introduce new ...

Lasting Change, Inc

AI Engineer

Fort Wayne, IN · On-site

Agentic Workflows & Process Automation * Design and deploy agentic workflows that automate multi ... testing. * Stay current with developments in AI research and tooling; evaluate and introduce new ...

Crowe LLP

Cyber AI Security Manager

South Bend, IN · On-site +1

$108K - $147K/yr

Support security assessments, penetration testing, and vulnerability management for AI systems to ... Identify opportunities to apply GenAI, agents, ML, and automation to improve cybersecurity services ...

Crowe LLP

Cyber AI Security Manager

Elkhart, IN · On-site +1

$106K - $143K/yr

Support security assessments, penetration testing, and vulnerability management for AI systems to ... Identify opportunities to apply GenAI, agents, ML, and automation to improve cybersecurity services ...

Crowe LLP

Cyber AI Security Manager

Fort Wayne, IN · On-site +1

$109K - $148K/yr

Support security assessments, penetration testing, and vulnerability management for AI systems to ... Identify opportunities to apply GenAI, agents, ML, and automation to improve cybersecurity services ...

Crowe LLP

Cyber AI Security Manager

Indianapolis, IN · On-site +1

$106K - $143K/yr

Support security assessments, penetration testing, and vulnerability management for AI systems to ... Identify opportunities to apply GenAI, agents, ML, and automation to improve cybersecurity services ...

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Ai Automation Testing information

What is AI automation testing?

AI automation testing refers to the use of artificial intelligence technologies to automate the process of testing software applications. This approach enhances traditional automated testing by using machine learning and data analysis to identify test cases, detect defects, and optimize test coverage. AI-driven testing tools can adapt to changes in the application, reduce manual effort, and improve the accuracy and speed of testing processes. As a result, organizations can deliver higher-quality software more efficiently.

What are the key skills and qualifications needed to thrive as an AI automation testing professional?

To thrive as an AI Automation Testing professional, you need a solid understanding of software testing principles, programming languages (such as Python or Java), and AI/ML concepts, often supported by a degree in computer science or a related field. Familiarity with automation tools like Selenium, Appium, and AI-powered testing frameworks, as well as certifications like ISTQB, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in diagnosing issues and collaborating with development teams. These skills ensure the delivery of robust, efficient, and reliable AI-driven software products in a competitive technology landscape.

What are some common challenges faced by AI automation testing professionals when validating machine learning models?

AI Automation Testing professionals often encounter challenges such as ensuring that test cases comprehensively cover the unique behaviors of machine learning models, dealing with non-deterministic outputs, and handling large datasets efficiently. It's also common to face difficulties in setting up reliable test environments that simulate real-world data scenarios. Collaboration with data scientists and developers is crucial to define meaningful metrics and effectively interpret test results, ensuring the AI system meets both functional and ethical standards.

What is the difference between Ai Automation Testing vs Software Test Engineer?

AspectAi Automation TestingSoftware Test Engineer
Required CredentialsCertifications in AI, automation tools, programming languagesSoftware testing certifications (ISTQB, CSTE), programming skills
Work EnvironmentFocus on automation frameworks, AI integration, scriptingManual and automated testing, test case design, bug tracking
Employer & Industry UsageTech companies, AI-driven projects, software development firmsSoftware development companies, IT departments, QA teams

Ai Automation Testing and Software Test Engineer roles overlap in testing skills and programming knowledge. However, Ai Automation Testing emphasizes AI integration and automation frameworks, while Software Test Engineers focus more on manual testing, test case creation, and bug identification. Both roles are essential in software quality assurance but serve different aspects of the testing process.

How to become an AI automation tester?

To become an AI automation tester, you should have a strong understanding of software testing principles, programming languages such as Python or Java, and experience with automation tools like Selenium or TestComplete. Familiarity with AI and machine learning concepts can be beneficial, along with certifications in testing or automation. Gaining hands-on experience through internships or projects is also valuable for this role.

Is AI automation testing a good career?

AI automation testing is a growing field within software quality assurance that involves using AI tools and scripting to automate test cases, increasing efficiency and coverage. It requires knowledge of programming, testing frameworks, and AI concepts, making it a valuable skill set with strong job prospects and competitive salaries.

What are popular job titles related to Ai Automation Testing jobs in Indiana?

For Ai Automation Testing jobs in Indiana, the most frequently searched job titles are:

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

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

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Cities in Indiana with the most Ai Automation Testing job openings:

Ai Automation Testing jobs near you

IT Sr. Analyst, AI Engineer

Patrick Industries

Elkhart, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Patrick Industries rating

6.6

Company rating: 6.6 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

461st of 545 rated manufacturers

Job description

Patrick Industries, a publicly traded company headquartered in Elkhart, Indiana, invites you to join a team of dedicated Team Members who are passionate about delivering high-quality products and exceptional customer service. As a leading solutions provider serving a diverse range of markets across the United States, our commitment to innovation, quality, and sustainability has positioned us as a high growth, diversified and empowered Team of more than 10,000! Your adventure awaits!
The IT Sr. Analyst, AI Engineer is responsible for designing, developing, deploying, and supporting enterprise AI solutions, agentic applications, and intelligent integrations across Patrick Industries. As a senior member of the Agile AI Factory, this role owns technical solution design, implementation approaches, engineering quality, and operational performance for assigned initiatives. The position partners closely with Product Managers, Platform Engineers, Data Engineers, and business stakeholders to deliver scalable AI-enabled solutions that drive automation, improve decision-making, and create measurable business value.
Responsibilities & Duties:
AI Solution Design & Development
  • Design, develop, test, and deploy AI-enabled applications, agents, and intelligent automation solutions
  • Own technical solution design for assigned initiatives, translating business requirements into scalable production-ready applications
  • Develop agentic workflows, prompt engineering strategies, retrieval-augmented generation solutions, and AI orchestration capabilities
  • Create reusable frameworks, services, and components that accelerate enterprise AI delivery
  • Develop technical documentation, design specifications, and engineering standards
  • Participate in code reviews, design reviews, and architecture discussions to ensure solution quality

System Architecture & Engineering
  • Design system components, service boundaries, data flows, integration patterns, and operational workflows for assigned solutions
  • Evaluate architectural alternatives and make recommendations based on scalability, performance, reliability, and maintainability requirements
  • Assess technical trade-offs related to cost, latency, compute utilization, and solution complexity
  • Design solutions that support enterprise growth, operational efficiency, and long-term sustainability
  • Collaborate with Platform Engineers and Architects to ensure alignment with enterprise standards
  • Identify and proactively address technical risks, dependencies, and architectural concerns

AI Platform Integration & Automation
  • Build integrations between AI platforms and enterprise applications, including ERP, operational systems, and business applications
  • Develop APIs, services, and automation frameworks that enable intelligent workflows across the organization
  • Support implementation of AI capabilities within manufacturing, supply chain, finance, HR, and corporate business processes
  • Ensure integrations are reliable, secure, scalable, and aligned with enterprise architecture standards
  • Troubleshoot integration challenges and optimize system performance
  • Collaborate with technical teams to support end-to-end solution delivery

Data Engineering & AI Enablement
  • Build data pipelines and supporting infrastructure required for AI applications and intelligent automation
  • Partner with Data Engineering teams to ensure data quality, availability, governance, and readiness
  • Design and implement data structures that support AI model performance and business requirements
  • Support ingestion, transformation, and preparation of enterprise data for AI use cases
  • Optimize solutions for performance, scalability, and maintainability
  • Contribute to enterprise AI and data platform standards and best practices

Solution Quality, Monitoring & Production Support
  • Develop and maintain testing frameworks, evaluation harnesses, and validation processes for AI solutions
  • Establish monitoring and observability standards for production AI systems
  • Track application performance, latency, error rates, model behavior, and output quality
  • Support deployment, stabilization, issue resolution, and ongoing production operations
  • Implement regression testing and validation processes when models, prompts, or retrieval layers change
  • Drive continuous improvement of solution reliability, performance, and supportability

DevOps & Agile Delivery
  • Apply DevOps best practices including CI/CD pipelines, source control, automated testing, and release management
  • Participate in sprint planning, backlog refinement, stand-ups, reviews, and retrospectives
  • Collaborate with cross-functional teams to deliver prioritized work efficiently and predictably
  • Provide effort estimates, identify delivery risks, and communicate project status effectively
  • Support release planning, deployment readiness, and production rollout activities
  • Continuously improve engineering practices, development tools, and delivery processes

Technical Leadership & Innovation
  • Provide technical guidance and mentorship to engineers and project teams
  • Promote engineering best practices and high-quality software development standards
  • Research emerging AI technologies, frameworks, and development approaches
  • Evaluate new tools and platforms that may enhance enterprise AI capabilities
  • Recommend improvements that increase platform scalability, developer productivity, and business value
  • Support advancement of Patrick Industries' AI maturity and digital transformation initiatives

Qualifications and Skills:
  • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or related field; equivalent experience may be considered
  • 4+ years of software engineering, AI engineering, data engineering, or related experience
  • Experience designing, developing, and deploying enterprise software applications and integrations
  • Hands-on experience building and implementing AI, machine learning, generative AI, or agentic solutions
  • Strong proficiency with Python, SQL, and JavaScript/TypeScript or similar development technologies
  • Experience with prompt engineering, retrieval-augmented generation, LLM orchestration, and AI development frameworks
  • Demonstrated system design and software architecture experience
  • Experience developing APIs, integrations, and distributed application components
  • Strong understanding of DevOps practices including CI/CD, source control, automated testing, and release management
  • Experience working in Agile product development environments
  • Familiarity with Microsoft Azure, Microsoft Fabric, Microsoft Foundry, Azure DevOps, and Dynamics 365 environments
  • Knowledge of monitoring, observability, and production support practices for enterprise applications
  • Experience with MLOps, model deployment, monitoring, and lifecycle management preferred
  • Experience supporting manufacturing, operations, supply chain, or industrial business environments preferred
  • Experience integrating enterprise applications, industrial systems, sensors, or operational technologies preferred
  • Experience in decentralized, multi-site, or acquisition-driven organizations preferred
  • Exposure to C#, Rust, or KQL is a plus
  • Strong analytical, communication, collaboration, and problem-solving skills

Benefits Include:
Health, Dental, Vision, Life, Insurances, Paid Vacation, 401K Match, Holidays, Health Club and Tuition Reimbursement
At Patrick Industries, BETTER Together is our commitment to being our best while striving to bring out the best in one another as we join forces Individually, as Teams, with our Business Units, with our Customers, our Communities and within our entire Patrick family.
Patrick is an Equal Opportunity Employer.
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