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Ai Test Engineer Jobs in Indiana (NOW HIRING)

Senior AI/ML Engineer

Bedford, IN

$93K - $128K/yr

Analyze test data to identify model strengths, weaknesses, and mission relevance. * Refine and ... Maintain awareness of emerging AI/ML technologies, software engineering practices, and cyber ...

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

Analyze test data to identify model strengths, weaknesses, and mission relevance. * Refine and ... Maintain awareness of emerging AI/ML technologies, software engineering practices, and cyber ...

Systems Engineer - Radar Test Position Description: Protingent Staffing has an exciting contract ... AI, Clean Tech, Medical Devices, and Connected Technologies. We're passionate about making a ...

At Arrive AI (Nasdaq: ARAI), we're not just building products--we're transforming the future of the ... Build the bench tooling, harnesses, and test fixtures that make prototype iteration fast * Support ...

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Ai Test Engineer information

See Indiana salary details

$16

$42

$71

How much do ai test engineer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for ai test engineer in Indiana is $42.10, according to ZipRecruiter salary data. Most workers in this role earn between $31.78 and $49.86 per hour, depending on experience, location, and employer.

What is an AI test engineer?

AI Test Engineers are professionals who design, develop, and execute tests to evaluate the performance, accuracy, and reliability of artificial intelligence systems and machine learning models. They work closely with data scientists and software developers to ensure AI solutions function as intended, identifying bugs, biases, and potential risks in algorithms. Their responsibilities often include creating test cases, automating test processes, and analyzing results to improve AI system quality and compliance.

What are the key skills and qualifications needed to thrive as an AI test engineer?

To thrive as an AI Test Engineer, you need a strong background in computer science, software testing methodologies, and a good understanding of machine learning concepts, often supported by a relevant degree. Familiarity with programming languages like Python, testing frameworks such as pytest, and tools like TensorFlow or PyTorch, along with certifications in software testing or AI, are typically required. Analytical thinking, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for ensuring the reliability, accuracy, and ethical deployment of AI systems.

What are some common challenges AI test engineers face when validating machine learning models?

AI Test Engineers often encounter challenges such as ensuring the quality and fairness of machine learning models, identifying edge cases that the model may not handle well, and working with limited labeled data for testing. Additionally, interpreting test results can be complex due to the probabilistic nature of AI outputs, requiring close collaboration with data scientists to understand model behaviors. Effective communication and a strong foundation in both software testing and AI concepts are essential to address these challenges and ensure reliable AI solutions.

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

AspectAi Test EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of testing toolsBachelor's or higher in CS, Statistics, or related; proficiency in data analysis
Work EnvironmentSoftware testing teams, AI development projectsData analysis teams, AI research projects
Employer & Industry UsageTech companies, AI startups, software firmsTech companies, finance, healthcare, research institutions
Common Search & ComparisonOften compared for roles in AI testing and quality assuranceCompared for data analysis and AI model development roles

While both roles work within AI and tech environments, Ai Test Engineers focus on testing and validating AI systems, ensuring quality and performance. Data Scientists analyze data to develop models and insights. The roles are complementary but distinct in their core responsibilities.

How do I become an AI Test Engineer?

To become an AI Test Engineer, candidates typically need a strong background in computer science, software testing, or related fields, along with knowledge of AI and machine learning concepts. Skills in programming languages such as Python or Java, experience with testing tools, and understanding of AI model evaluation are essential. Earning relevant certifications and gaining experience in software development and testing environments can also improve job prospects.

What job categories do people searching Ai Test Engineer jobs in Indiana look for?

The top searched job categories for Ai Test Engineer jobs in Indiana are:

What cities in Indiana are hiring for Ai Test Engineer jobs?

Cities in Indiana with the most Ai Test Engineer job openings:

Infographic showing various Ai Test Engineer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $87,570 per year, or $42.1 per hour.

Systems Integration and Test Engineer

General Dynamics Mission Systems, Inc

Fort Wayne, IN • On-site

$132K - $139K/yr

Full-time

Posted 19 days ago


General Dynamics Mission Systems rating

8.1

Company rating: 8.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

114th of 246 rated software companies


Job description

Basic Qualifications
Bachelor's degree in Engineering, or a related Science or Mathematics field, plus a minimum of 8 years of relevant work experience; or Master's degree, plus a minimum of 6 years of relevant experience.
CLEARANCE REQUIREMENTS:
Department of Defense Secret security clearance required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
Required Qualifications
  • Demonstrated I&T experience on complex hardware/software systems- support of test plan authorship, execution, anomaly resolution, and formal reporting.
  • Hands-on System-of-Systems integration experience resolving interface, timing, and interoperability issues across dissimilar subsystems.
  • Multi-disciplinary integration experience spanning autonomy, RF communications, UGVs, small UAS, electronic warfare, munitions, and fuzes.
  • Experience with bench and field instrumentation: oscilloscopes, spectrum analyzers, signal generators, and data acquisition systems.
  • Python scripting for test automation and data reduction.
  • Experience with use-case-driven or mission-thread-based V&V campaigns with formal requirements traceability.
  • Experience in an Agile environment with Jira and Confluence.
  • Ability to support authoring clear, audit-ready technical documentation for engineering and government customer audiences.
  • Active DoD Secret security clearance; U.S. citizenship required.
  • Willingness to travel up to 25% to customer and contractor test ranges (event-driven, typically 1-2 weeks at a time).

Preferred Qualifications
  • Defense/aerospace experience with military standards (MIL-STD-810, MIL-STD-461, MIL-STD-1316, MIL-STD-882E, MIL-STD-2105).
  • RF/communications test experience: waveforms, link testing, tactical/mesh networks, GPS-denied/contested-spectrum operations.
  • Electronic warfare test experience: signal collection, jamming/countermeasure characterization, range testing.
  • Autonomy, UGV, and small UAS integration and test-perception, navigation, C2, and human-machine teaming.
  • Munitions and fuzing experience: setback survivability, safe-and-arm, warhead/effects characterization, lethality testing.
  • Environmental and qualification test experience (vibration, shock, thermal, EMI/EMC).
  • Test automation framework experience (LabVIEW, TestStand, or equivalent).
  • Linux test environments and CI/CD for embedded software test.
  • MBSE and digital-engineering traceability tools; experience with VCRMs or VVPs for DoD milestone reviews.
  • Use of Artificial Intelligence (AI) tools to develop I&T artifacts and capabilities.
  • Active DoD Top Secret clearance.

Key Responsibilities
  • I&T Lifecycle Ownership: Support the full test and integration lifecycle-plan, integrate, execute, resolve anomalies, and report-for multi-subsystem System-of-Systems capabilities.
  • SoS Integration: Support the integration and test strategy; support integration of dissimilar subsystems (autonomy, RF/comms, UGV, sUAS, EW, munitions, and fuzing) into a cohesive, demonstrable capability; resolve cross-subsystem interface, timing, and interoperability issues.
  • Use-Case & V&V: Support operational use cases and mission threads; develop verification scenarios that exercise end-to-end system behavior against ConOps with formal traceability from requirements through test evidence.
  • Test Planning: Support authoring of test plans and procedures across the full test taxonomy-integration, functional, scenario, environmental, acceptance, regression, and qualification-with defined pass/fail criteria.
  • Field Execution & Anomaly Resolution: Plan and instrument bench and field tests, lead range execution, and resolve test anomalies to the component level across electronic, mechanical, RF, and software assemblies.
  • Test Automation: Define and stand up test automation and data acquisition; script data reduction and post-test analysis (Python); develop automated test sequences where applicable.
  • Documentation & Configuration Control: Support authoring and maintain integration guides, ICDs, test procedures, lessons-learned registers, and as-tested configuration baselines; ensure documentation is audit-ready for government milestone reviews.
  • Leadership & Reporting: Support test activities across a cross-functional, multi-vendor team in an Agile workflow. Present test readiness reviews, test reports, and validation evidence to program leadership and government customers.

Tools & Environment
  • Python, CAMEO (requirements traceability), Confluence, MATLAB/Simulink, Git, Jira, LabVIEW/TestStand.

Workplace Options:
This position is fully onsite, you will be a part of the Ft Wayne, Indiana team.
#CJ3
Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $132,679.00 - USD $139,935.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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