QA Lead/Sr. SDET
Listed on 2026-08-25
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Software Development
AI QA / Validation Engineer, AI Engineer (Applied/Software)
Parsippany, United States | Posted on 08/20/2026
- CoE/Practice Architecture, Delivery & Leadership
- Work Experience 8+ years
- City Parsippany
- State/Province New Jersey
- Country United States
Status Neo is a global AI-native transformation firm helping enterprises design, engineer, and govern AI-led systems with trust at the core.
We work with global enterprises across BFSI, retail, healthcare, airlines, and platform-driven industries to transform how software is built, operated, and scaled in an AI-first world.
Our work is anchored in Authentic AI™ — an approach that treats AI not as a feature or experiment, but as a continuously evolving system that must be engineered with intent, accountability, and governance.
At Status Neo, we don’t just talk about AI transformation.
We build it — across engineering platforms, AI-native SDLC, agentic systems, and enterprise operating models.
Status Neo is seeking a Lead/SDET withAI Automation expertise to drive Quality Engineering initiatives across enterprise applications, digital platforms, APIs, cloud-native services, andAI-powered solutions.
The ideal candidate will bring strong experience in test automation, framework development, AI-driven testing,and quality leadership. This role will be responsible for defining teststrategy, building scalable automation frameworks, validating AI-enabled applications, and driving continuous quality practices within Agile and Dev Ops environments.
Key Responsibilities Quality Engineering &Leadership- Lead QA and automation teams,providing technical guidance and mentorship.
- Define and implement teststrategies, quality standards, and governance processes.
- Collaborate with Product,Engineering, Dev Ops, and ML teams to ensure quality throughout the SDLC.
- Track and report quality metrics,risks, and release readiness.
- Design and develop scalableautomation frameworks using Python, Java, or Type Script.
- Build automated test suites forUI, API, backend, integration, and end-to-end testing.
- Integrate automation into CI/CD pipelines using Jenkins, Git Hub Actions, or Azure Dev Ops.
- Drive Shift-Left Testing and Continuous Quality Engineering practices.
- Leverage AI/LLM tools to accelerate test creation, maintenance, and optimization.
- Automated test generation
- Self-healing scripts
- Defect prediction and analysis
- Accuracy and relevance
- Hallucinations and bias
- Model inference and ranking behavior
- Adversarial and edge-case scenarios
- Automation:
Playwright, Selenium,Cypress, Appium, PyTest, REST Assured - API Testing:
Postman, REST Assured
- Experience using AI-assisted development and testing tools such as Git Hub Copilot, Microsoft Copilot,ChatGPT, ACCELQ, Mabl, Testim, or Functionize.
- Understanding of Generative AI,LLMs, Prompt Engineering, and AI evaluation frameworks.
- Experience testing AI-powered applications and machine learning workflows is highly preferred.
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