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Ai Test Engineer Jobs in Florida (NOW HIRING)

... Execute test plans, analyse outcomes, and report defects to the development team, to facilitate ... We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of ...

QA Test Engineer

Boca Raton, FL · On-site

$39 - $53.25/hr

Leverage AI-assisted development tools to improve test automation efficiency and consistency REQUIREMENTS: * Bachelor's degree in Computer Science, Engineering, Quality Management, or a related field ...

Accelerate delivery through AI-augmented testing - By leveraging AI for test generation, self ... Elevate the engineering team - Through technical leadership and mentorship, you'll uplift the QA ...

New

$100K - $129K/yr

Parsons is looking for an exceptionally talented Senior Software Development Engineer in Test to ... Experience supporting DoD or USSOCOM programs, especially in unmanned systems, autonomy, AI/ML, or ...

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Ai Test Engineer information

See Florida salary details

$13

$33

$55

How much do ai test engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for ai test engineer in Florida is $33.06, according to ZipRecruiter salary data. Most workers in this role earn between $24.95 and $39.18 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 cities in Florida are hiring for Ai Test Engineer jobs?

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

Infographic showing various Ai Test Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $68,771 per year, or $33.1 per hour.

Lead Software Test Automation Engineer | Test Architect - Agentic AI

Tampa, FL • On-site


Wolters Kluwer
Accounting Services • 10K+ employees

9.1

Company rating: 9.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

26th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer


$89K - $157K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

We are seeking a Lead Test Automation Architectto define and lead an enterprise-gradetest automation strategyacross UI, API, data, and platform layers-while evolving our quality engineering capabilities to supportAgentic AI / LLM-based systems(probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and accelerate delivery through highly productive, maintainable automation programs.Key ResponsibilitiesAutomation Strategy & Architecture
  • Define and own thetest automation architecture and multi-layer strategy(UI/API/contract/integration/e2e), aligned to product risk and release cadence.
  • Establish automationstandards, patterns, and reference implementations(framework structure, page-object/screenplay usage, test data patterns, reporting).
  • Driveshift-left testingpractices (contract testing, component testing, pre-merge validation) and reduce reliance on fragile end-to-end tests.
Agentic AI / LLM Test Model Alignment
  • Design and implement testing approaches fornon-deterministic AI outputs, including:
    • confidence/threshold-based assertions
    • semantic similarity checks and rubric-based validation
    • goldens/benchmark datasets and evaluation harnesses
    • hallucination and groundedness testing strategies
    • regression detection across model/prompt/version changes
  • Define AI test coverage acrossaccuracy, robustness, bias/safety (as applicable), performance, and reliability.
  • Partner with ML/AI, Product, and Engineering to establishacceptance criteriafor AI capabilities and measurable quality gates.
High-Productivity Automation Programs
  • Build and scalehigh-throughput automation projectsthat are reliable, fast, and easy to extend.
  • Improvetest execution time, reduce flaky tests, and optimize CI/CD pipelines (parallelization, test selection, retries with guardrails).
  • Create actionable, engineering-friendlyquality dashboards(pass/fail trends, flake rate, coverage, defect escape metrics).
Tooling, CI/CD, and Quality Gates
  • Integrate automation into CI/CD withquality gates(PR checks, nightly suites, release readiness criteria).
  • Standardizeobservability for testing: logs, tracing hooks, screenshots/video, artifacts, and test run diagnostics.
  • Define practices fortest environments, data management, service virtualization, and dependency control.
Technical Leadership & Mentorship
  • Serve as the QE technical authority: coach engineers on automation design, code quality, and best practices.
  • Lead design reviews for test architecture and automation PRs; enforce coding standards and maintainability.
  • Influence roadmap and delivery by translating risk into clear testing priorities.
Required Qualifications
  • 8-12+ yearsin Quality Engineering / Test Automation witharchitect-level ownershipof frameworks and strategy.
  • Proven experience designing scalable automation across:
    • API testing(contract + integration)
    • UI automationwith stable locator strategies (test IDs, accessibility roles)
    • Test datastrategy and environment reliability
  • Strong programming skills in at least one modern language (e.g.,Java, Python, TypeScript/JavaScript, C#).
  • Expertise with automation tools/frameworks (examples):
    • UI: Playwright / Cypress / Selenium
    • API: REST-assured / SuperTest / Postman/Newman / pytest
    • CI: GitHub Actions / Jenkins / Azure DevOps
  • Demonstrated ability to reduce flakiness and improve execution speed throughengineering solutions.
Preferred Qualifications (Strongly Desired)
  • Experience testingLLM/Agentic AIfeatures or other probabilistic systems, including:
    • evaluation harnesses, benchmark datasets, semantic scoring, and drift detection
    • prompt/version regression strategies and structured evaluation reports
  • Familiarity with modern quality approaches:test pyramid,contract testing,consumer-driven contracts,risk-based testing,shift-left.
  • Knowledge of security/performance testing integration (baseline understanding; hands-on is a plus).
  • Experience building reusable automation libraries for multiple teams/products.
Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$89,600.00 - $157,000.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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About Wolters Kluwer

Sourced by ZipRecruiter

Wolters Kluwer Global Business Services is designed to provide services to the business units in the areas of technology, sourcing, procurement, legal, finance, and accounting which includes our North American-Accounting Center. These global centers promote team collaboration using best practices around a specific focus area to drive results and enhance operational efficiencies. There is a constant endeavor to benchmark against best-in-class industry standards to improve the quality of deliverables, increase cost savings, enhance productivity, and reduce time to market for products and applications

Industry

Accounting services, library and information services and it services

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US


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