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Ai Automation Testing Jobs in Indiana (NOW HIRING)

TEKsystems

SDET

Carmel, IN

$40 - $48/hr

The ideal candidate will have strong technical testing and coding skills, experience with automation frameworks and API/SDK/Web Application or Microservice testing, and the ability to use approved AI ...

TEKsystems c/o Allegis Group

SDET

Carmel, IN · On-site

$40 - $48/hr

Recommend and support effective testing tools, utilities, automation frameworks, CI/CD automation, and AI-enabled QA practices for the application under test. Use approved AI tools and create ...

TEKsystems

SDET

Carmel, IN

$40 - $48/hr

The ideal candidate will have strong technical testing and coding skills, experience with automation frameworks and API/SDK/Web Application or Microservice testing, and the ability to use approved AI ...

Merchants Bancorp

AI Enablement Specialist

Carmel, IN · On-site

Develop light integrations between AI platforms and enterprise systems using APIs, Power Platform, connectors, and workflow automation tools. * Support testing, deployment, and lifecycle management ...

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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.

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Ai Automation Testing jobs near you

AI Automation Technical Lead

Prophecy Technologies

Indianapolis, IN • On-site

Full-time

Posted 20 days ago

Job description

Role Overview:
This role involves leading the design and implementation of advanced AI and automation solutions across various Lilly business functions, including medical, clinical, and commercial. The successful candidate will be responsible for architecting and building LLM-powered applications, AI agents, and intelligent automation frameworks, driving end-to-end solution delivery from requirements to scaling.
Key Responsibilities:
  • Lead design and implementation of AI and automation solutions across Lilly business functions (medical, clinical, commercial)
  • Architect and build LLM-powered applications, AI agents, and intelligent automation frameworks
  • Drive end-to-end solution delivery (requirements, design, build, testing, deployment, scaling)
  • Lead PoCs, pilots, and enterprise-scale rollouts of AI/automation initiatives
  • Define and implement best practices for AI architecture, MLOps, and reusable accelerators
  • Collaborate with business stakeholders, SMEs, and IT teams to identify transformation opportunities
  • Ensure solutions meet quality, performance, security, and compliance standards (GxP, HIPAA)
  • Support client interactions, solution demos, and executive-level discussions

Required Skills:
  • Strong understanding of API integration, microservices, and workflow orchestration
  • Experience with data processing (structured/unstructured), ETL pipelines

Qualifications:
  • 4-6 Years of experience with strong background in AI, automation, and enterprise application development

Preferred Skills:
  • Knowledge of Azure cloud ecosystem including AI services

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