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Ai Test Engineer Jobs in Wisconsin (NOW HIRING)

Foxconn WI

Reliability Engineer

Mount Pleasant, WI · On-site

$99K - $124K/yr

... test engineering, or related field, preferably with enterprise/AI server and storage platforms. * Experience running ORT testing, including environmental temperature/humidity chambers and burn-in ...

Foxconn WI

Reliability Engineer

Mount Pleasant, WI

... test engineering, or related field, preferably with enterprise/AI server and storage platforms. * Experience running ORT testing, including environmental temperature/humidity chambers and burn-in ...

Urus

AI Engineer

Watertown, WI · On-site

VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications ... Build unit and behavioral tests for agents, tools, and workflows. * Develop tooling for trace ...

Farm Systems

AI Engineer

Watertown, WI · On-site

VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications ... Build unit and behavioral tests for agents, tools, and workflows. * Develop tooling for trace ...

AgSource

AI Engineer

Watertown, WI · On-site

VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications ... Build unit and behavioral tests for agents, tools, and workflows. * Develop tooling for trace ...

Johnson Controls

AI Engineer

Glendale, WI · On-site

Identify and implement AI-assisted developer tooling to accelerate product development - code generation, test automation, CI/CD intelligence, and review workflows * Mentor engineers on the team in ...

Live Nation, Inc

WI · On-site

$140 - $210/hr

## Manager, Test Data Engineering TeamApplylocations: Work From Home - Georgia: Work From Home - Texas ... AI orchestration experience a huge plus; ability to automate test data practices such as synthetic ...

Johnson Controls

AI Engineer

Glendale, WI · On-site +1

Identify and implement AI-assisted developer tooling to accelerate product development - code generation, test automation, CI/CD intelligence, and review workflows * Mentor engineers on the team in ...

Johnson Controls, Inc.

AI Engineer

Glendale, WI · On-site

Identify and implement AI-assisted developer tooling to accelerate product development - code generation, test automation, CI/CD intelligence, and review workflows * Mentor engineers on the team in ...

Socket.dev

WI · On-site

$90 - $120/hr

NTT DATA's Client is currently seeking a SDET Consultant to join their team in Brookfield ... We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a ...

Springs Window Fashions

AI Engineer II

Middleton, WI · On-site

$100K - $137K/yr

Write, test, and ship real AI and machine learning code that makes it into production, with support from senior engineers. * Build features for generative AI applications-LLMs, RAG, copilots, and ...

Gainwell Technologies

WI · On-site

$147.20 - $210.30/hr

End-to-End AI Solution Deployment - Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact. * Data Engineering ...

NELNET BUSINESS SOLUTIONS

AI / ML Engineer

Madison, WI · Remote

Our AI / ML Engineer role sits at the center of that work: building, operating, and scaling the AI ... Build and maintain evaluation suites for agent systems, including offline test sets, LLM-as-judge ...

Bank of America

WI · On-site

$150 - $210/hr

This role is ideal for an engineer passionate about Generative AI, application development ... Codes solutions and unit tests to deliver a requirement/story per the defined acceptance criteria ...

Urus

Senior AI/ML Engineer

Watertown, WI

$99K - $136K/yr

We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... Build unit and behavioral tests for agents, tools, and workflows. * Develop tooling for trace ...

New

Farm Systems

Senior AI/ML Engineer

Watertown, WI

$99K - $136K/yr

We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... Build unit and behavioral tests for agents, tools, and workflows. * Develop tooling for trace ...

New

AgSource

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... Build unit and behavioral tests for agents, tools, and workflows. * Develop tooling for trace ...

New

Cognida.ai

WI · On-site

$120 - $150/hr

You will work closely with product managers, engineers, and data scientists. Key ... Build rapid prototypes and MVPs to validate hypotheses and test new solution ideas. * Use ...

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All JobsAi Test Engineer JobsAi Test Engineer Jobs in Wisconsin

Ai Test Engineer information

See Wisconsin salary details

$17

$44

$75

How much do ai test engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for ai test engineer in Wisconsin is $44.66, according to ZipRecruiter salary data. Most workers in this role earn between $33.75 and $52.88 per hour, depending on experience, location, and employer.

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.

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 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 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 popular job titles related to Ai Test Engineer jobs in Wisconsin?

For Ai Test Engineer jobs in Wisconsin, the most frequently searched job titles are:

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

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

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

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

Ai Test Engineer jobs near you
Infographic showing various Ai Test Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution, with an average salary of $92,888 per year, or $44.7 per hour.

Software Test Engineering Manager (IGEN)

U.S. Venture, Inc.

Appleton, WI • On-site

Full-time

Re-posted 10 days ago

U.S. Venture rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

89th of 417 rated retail wholesalers

Job description

POSITION SUMMARY
IGEN is seeking a Software Test Engineering Manager to lead and evolve our Quality Engineering function across all software products and platforms. This role is responsible for defining and executing a modern, automation-first, and AI-enabled quality strategy that ensures scalable, reliable, and high-performing SaaS solutions.
This individual will operate within a Microsoft-based technology ecosystem and Scrum-driven Agile model, partnering closely with Engineering, Product, Platform, and domain experts (tax advisors / logic experts) to ensure both technical quality and business logic accuracy.
The ideal candidate is passionate about driving continuous improvement, intelligent automation, and agentic testing capabilities, while ensuring logic fidelity, regulatory compliance, and customer trust in all product outputs.
The location for this role is on-site in Appleton, WI for 4 days per week (Monday - Thursday) and remote Friday's as business needs allow.
JOB RESPONSIBILITIES
Quality Strategy, Vision & Governance
  • Define and execute a portfolio-wide Quality Engineering strategy across all IGEN software products
  • Establish a quality-first culture where quality is embedded in design, development, and delivery
  • Translate product risk, customer impact, and system complexity into measurable quality KPIs and release criteria
  • Define and govern:
  • Defect escape rate
  • Test coverage across layers
  • Release confidence scoring
  • MTTR / MTTD

Microsoft & Platform Quality Engineering
  • Lead quality engineering within a Microsoft-centric ecosystem, including:
  • Azure-based SaaS platforms
  • Azure DevOps / GitHub CI/CD pipelines
  • .NET-based services and APIs
  • Define best practices for testing in:
  • Distributed cloud environments
  • Identity-enabled systems (Entra / IAM)
  • Ensure QA is deeply integrated into platform engineering practices

Scrum & Product Team Quality Ownership
  • Embed QA into Scrum teams, ensuring quality ownership throughout the sprint lifecycle
  • Define and enforce Definition of Done, including automation coverage and quality gates
  • Influence:
  • Sprint planning (test strategy and risk)
  • Backlog refinement (testability and acceptance criteria clarity)
  • Ensure product teams deliver with clear accountability for quality outcomes

Logic Validation & Domain Quality (Critical for IGEN)
  • Partner closely with logic experts (tax advisors and domain specialists) to validate:
    • Business rules
    • Regulatory logic
    • Calculation accuracy and scenario coverage
  • Establish structured processes for:
    • Logic validation testing (rule-based and scenario-driven testing)
    • Domain test case design tied to real-world client scenarios
    • Business acceptance validation beyond functional correctness
    • Ensure software quality includes confidence in both technical performance and domain correctness
    • Drive traceability between:
    • Requirements → rules → test coverage → expected outcomes

AI & Agentic Quality Engineering
  • Lead adoption of AI-driven and agentic QA capabilities, including:
  • Autonomous test generation from requirements and user stories
  • AI-assisted test maintenance and self-healing automation
  • Intelligent identification of coverage gaps
  • Establish governance for AI-generated testing and validation outputs
  • Drive evolution toward autonomous QA systems capable of adaptive testing at scale

Test Architecture & Automation Strategy
  • Define and own the enterprise test architecture, including:
  • UI, API, integration, contract, and end-to-end testing
  • Build and scale modular, reusable automation frameworks
  • Integrate automated testing into CI/CD pipelines with:
    • Automated quality gates
    • Real-time feedback loops
    • Drive best practices:
    • API-first testing
    • Test data management
    • Service virtualization
    • Test stability and flakiness reduction

DevOps, CI/CD & TestOps Integration
  • Embed quality engineering into CI/CD pipelines (Azure DevOps / GitHub Actions)
  • Implement TestOps practices with continuous quality monitoring
  • Drive shift-left and shift-right quality strategies:
  • Early validation within development
  • Production validation via telemetry

Observability & Production Quality
  • Leverage logs, metrics, and traces for production quality validation
  • Implement:
  • Synthetic monitoring
  • Release validation strategies
  • Establish feedback loops from production insights into:
    • Defect analysis
    • Risk prioritization
    • Backlog improvements

Leadership & Team Development
  • Lead, mentor, and develop QA Engineers, SDETs, and automation specialists
  • Act as a player-coach, contributing to design and technical implementation
  • Build organizational capability in:
    • Automation engineering
    • AI-enabled QA
    • Cloud-native testing
    • Foster a culture of shared ownership of quality across engineering teams

Core Behavioral Expectations
  • Strategic thinker with ability to balance speed, risk, and quality
  • Strong communication skills across technical and business stakeholders
  • Ability to lead in a fast-paced, Agile environment
  • Excellent problem-solving and decision-making skills
  • Passion for innovation and continuous improvement
  • Lives IGEN values:
    • High Performance
    • Caring Relationships
    • Strategic Foresight
    • Entrepreneurial Spirit
    • Champions efforts to Find a Better Way through innovation and optimization

QUALIFICATIONS
Required:
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience
  • 5+ years of experience in QA, automation, or SDET roles
  • 3+ years in a leadership role
  • Strong experience with:
    • Test automation frameworks (Selenium, Playwright, Cypress, etc.)
    • API and integration testing
    • CI/CD pipelines (Azure DevOps, GitHub Actions)
  • Experience working in Scrum-based Agile environments
  • Programming experience (C#, JavaScript, Python, or Java)
  • Experience with cloud-native SaaS architectures (Azure preferred)

Preferred:
  • Experience with AI-driven or agentic QA approaches
  • Experience with:
  • Performance testing tools
  • Observability platforms
  • Experience integrating security testing and SCA tools
  • Experience working with domain-heavy systems requiring logic validation (e.g., tax, regulatory, or rules-based platforms)

DIVISION:
IGEN
U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H-1B, TN, E-3, F1, CPT, OPT, STEM OPT, visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require U.S. Venture's sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need.
U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.
U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.
91-00-911-0000

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