Lead Software Test Automation Engineer | Test Architect - Agentic AI

Wolters Kluwer; Tampa (FL); On-site; USD 90,000 - 157,000; Full time

Benefits offered by this job

Medical, Dental & Vision plans

401(k)

FSA/HSA

Commuter Benefits

Tuition Assistance

Vacation and Sick Time

Paid Parental Leave

Job summary

Wolters Kluwer seeks a Lead Test Automation Architect to define and lead an enterprise-grade test automation strategy across UI, API, data, and platform layers, evolving QE capabilities for Agentic AI/LLM-based systems. The role architects scalable automation frameworks and accelerates delivery through high-quality automation programs.

Responsibilities include establishing standards, driving shift-left testing, and aligning with product risk and release cadence to enable reliable, fast CI/CD

Qualifications

• 8–12+ years in Quality Engineering / Test Automation with architect-level ownership.
• Experience designing scalable automation across API testing (contract + integration).
• UI automation with stable locator strategies and test data strategy.
• Strong programming skills in Java, Python, TypeScript/JavaScript, or C#.

Responsibilities

• Define and own the test automation architecture and multi-layer strategy (UI/API/contract/integration/e2e).
• Establish automation standards, patterns, and reference implementations.
• Drive shift-left testing and reduce reliance on fragile end-to-end tests.
• Design and implement testing approaches for non-deterministic AI outputs (confidence thresholds, rubric validation).
• Define AI test coverage across accuracy, robustness, bias/safety, performance, reliability.

Skills

Test automation architecture

UI automation

API testing

Programming fundamentals (Java/Python/

CI/CD

LLM/Agentic AI testing

Tools

Playwright

Cypress

Selenium

REST-assured

Postman

Jenkins

GitHub Actions

Job description

We are seeking a Lead Test Automation Architect to define and lead an enterprise-grade test automation strategy across UI, API, data, and platform layers-while evolving our quality engineering capabilities to support Agentic 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 Responsibilities

Automation Strategy & Architecture

Define and own the test automation architecture and multi-layer strategy (UI/API/contract/integration/e2e), aligned to product risk and release cadence.

Establish automation standards, patterns, and reference implementations (framework structure, page-object/screenplay usage, test data patterns, reporting).

Drive shift-left testing practices (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 for non-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 across accuracy, robustness, bias/safety (as applicable), performance, and reliability.

Partner with ML/AI, Product, and Engineering to establish acceptance criteria for AI capabilities and measurable quality gates.

High-Productivity Automation Programs

Build and scale high-throughput automation projects that are reliable, fast, and easy to extend.

Improve test execution time , reduce flaky tests, and optimize CI/CD pipelines (parallelization, test selection, retries with guardrails).

Create actionable, engineering-friendly quality dashboards (pass/fail trends, flake rate, coverage, defect escape metrics).

Tooling, CI/CD, and Quality Gates

Integrate automation into CI/CD with quality gates (PR checks, nightly suites, release readiness criteria).

Standardize observability for testing : logs, tracing hooks, screenshots/video, artifacts, and test run diagnostics.

Define practices for test 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+ years in Quality Engineering / Test Automation with architect-level ownership of frameworks and strategy.

Proven experience designing scalable automation across:

API testing (contract + integration)

UI automation with stable locator strategies (test IDs, accessibility roles)

Test data strategy 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 through engineering solutions .

Preferred Qualifications (Strongly Desired)

Experience testing LLM/Agentic AI features 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.

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 USD

This 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.

EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affimative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.