Test Automation Architect-Agentic AI || Houston, TX or Coppell, TX(Hybrid) || 12+month Contract

Coppell, TX, US • Posted 5 hours ago • Updated 5 hours ago
Contract Independent
Contract Corp To Corp
Contract W2
12 Months
No Travel Required
On-site
$80 - $85/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Test
  • Automation
  • Architect
  • Agentic AI
  • LLM

Summary

Lead Software Test Automation Architect | Agentic AI
Houston, TX or Coppell, TX ( Local candidates will be given high priority)
Hybrid 2 days on site
12+ Months Contract
Client will not provide any letter)

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:-
  • 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.
 

Regards, 

 

     Mayank 

  

     Xchange Software Inc. 

      10 Austin Avenue, 2nd Floor | Iselin, NJ – 08830 

       Direct Line: -  

       Hangout-   

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10423087
  • Position Id: 10644-6733-1788895727
  • Posted 5 hours ago
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