Lead Software Test Automation Engineer | Test Architect - Agentic AI

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 assertionssemantic similarity checks and rubric-based validationgoldens/benchmark datasets and evaluation harnesseshallucination and groundedness testing strategiesregression 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, Type Script/JavaScript, C#).Expertise with automation tools/frameworks (examples):

UI:
Playwright / Cypress / SeleniumAPI: REST-assured / Super Test / Postman/Newman / pytestCI:
Git Hub Actions / Jenkins / Azure Dev Ops 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 detectionprompt/version regression strategies and structured evaluation reports

Familiarity…