ZipRecruiter

Log In

1

Probabilistic Risk Assessment Jobs in Texas (NOW HIRING)

WSP

Project Manager- Power & Energy

Dallas, TX · Remote

Oversees the preparation and validation of quantitative risk analyses, including probabilistic ... Leads lessons learned reviews, root cause investigations, and after-action assessments to drive ...

WSP

Project Manager- Power & Energy

Dallas, TX · On-site

... to assess critical risk exposures across financial, schedule, technical, regulatory, and ... probabilistic simulations and risk-adjusted forecasts. • Advises on contingency requirements ...

Deloitte

System Test and Validation Lead

Westlake, TX · On-site +1

Apply risk-based validation principles to assess system impact, classify validation requirements ... Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool ...

Deloitte

System Test and Validation Lead

Houston, TX · On-site +1

Apply risk-based validation principles to assess system impact, classify validation requirements ... Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool ...

Deloitte

System Test and Validation Lead

Fort Worth, TX · On-site +1

Apply risk-based validation principles to assess system impact, classify validation requirements ... Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool ...

Deloitte

System Test and Validation Lead

Fort Worth, TX · On-site +1

Apply risk-based validation principles to assess system impact, classify validation requirements ... Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool ...

Deloitte

System Test and Validation Lead

Austin, TX · On-site +1

Apply risk-based validation principles to assess system impact, classify validation requirements ... Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool ...

Deloitte

System Test and Validation Lead

Fort Worth, TX · On-site +1

Apply risk-based validation principles to assess system impact, classify validation requirements ... Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool ...

Deloitte

System Test and Validation Lead

Houston, TX · On-site +1

Apply risk-based validation principles to assess system impact, classify validation requirements ... Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool ...

Deloitte

System Test and Validation Lead

Dallas, TX · On-site +1

Apply risk-based validation principles to assess system impact, classify validation requirements ... Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool ...

Deloitte

System Test and Validation Lead

Houston, TX · On-site +1

Apply risk-based validation principles to assess system impact, classify validation requirements ... Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool ...

Deloitte

System Test and Validation Lead

Dallas, TX · On-site +1

Apply risk-based validation principles to assess system impact, classify validation requirements ... Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool ...

Deloitte

System Test and Validation Lead

Westlake, TX · On-site +1

Apply risk-based validation principles to assess system impact, classify validation requirements ... Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool ...

previous page

Showing results 41-60

All JobsProbabilistic Risk Assessment JobsProbabilistic Risk Assessment Jobs in Texas

Probabilistic Risk Assessment information

See Texas salary details

$4.6K

$8.1K

$12.5K

How much do probabilistic risk assessment jobs pay per month?

As of Aug 6, 2026, the average monthly pay for probabilistic risk assessment in Texas is $8,135.08, according to ZipRecruiter salary data. Most workers in this role earn between $4,850.00 and $11,416.67 per month, depending on experience, location, and employer.

What are the typical daily responsibilities of someone working in probabilistic risk assessment?

Professionals in Probabilistic Risk Assessment often spend their days collecting and analyzing data, developing quantitative risk models, and preparing risk reports for stakeholders. They collaborate closely with engineers, project managers, and regulatory personnel to evaluate system reliability and identify potential failure modes. Regular tasks include running simulations, updating risk assessments based on new information, and presenting findings to both technical and non-technical audiences. This role involves balancing analytical work with team-based problem solving, making it ideal for individuals who enjoy both independent analysis and collaborative projects.

What is a probabilistic risk assessment?

A Probabilistic Risk Assessment (PRA) job involves evaluating risks by using statistical methods to quantify the likelihood and consequences of potential adverse events. Professionals in this field apply mathematical models, simulations, and data analysis to assess uncertainties and improve decision-making in industries such as nuclear energy, aerospace, and finance. Their work helps organizations enhance safety measures, comply with regulations, and optimize system reliability. PRA analysts often collaborate with engineers, policymakers, and risk managers to develop strategies that mitigate potential hazards.

What are the key skills and qualifications needed to thrive in probabilistic risk assessment, and why are they important?

To thrive in Probabilistic Risk Assessment, you need a strong background in statistics, mathematics, and risk modeling, typically supported by a degree in engineering, mathematics, physics, or a related field. Familiarity with specialized software tools like SAPHIRE, R, MATLAB, or Monte Carlo simulation packages, as well as relevant certifications such as Certified Reliability Engineer (CRE), is often required. Excellent analytical thinking, communication skills, and attention to detail are highly valued soft skills in this role. These competencies are crucial to accurately identify, quantify, and communicate potential risks, supporting informed decision-making in safety-critical industries.

What are the most commonly searched types of Probabilistic Risk Assessment jobs in Texas? The most popular types of Probabilistic Risk Assessment jobs in Texas are:
What are popular job titles related to Probabilistic Risk Assessment jobs in Texas? For Probabilistic Risk Assessment jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Probabilistic Risk Assessment jobs in Texas look for? The top searched job categories for Probabilistic Risk Assessment jobs in Texas are:
Probabilistic Risk Assessment jobs near you
Infographic showing various Probabilistic Risk Assessment job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $97,621 per year, or $46.9 per hour.

Lead Software Test Automation Engineer | Test Architect - Agentic AI

Wolters Kluwer N.V.

Coppell, TX • On-site

$89K - $157K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

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.

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 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.

Apply