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

• 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.

• 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.

• 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).

• 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.

• 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.

• 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.

• 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,