AI QA Lead

Valiant Technologies LLC; Weehawken (NJ); On-site; USD 88,000 - 125,000; Full time

Job summary

Valiant Technologies LLC in Weehawken, NJ seeks an AI QA Lead to own AI adoption, governance, and quality across the QE lifecycle. The role focuses on Agentic AI, GenAI, LLM, RAG, specification-driven testing, automation, validation, governance, and release assurance.

You will lead AI-driven test design, manage risk, define measurable QE outcomes, and collaborate with engineering, DevOps, security, and leadership to deliver trusted AI quality for client projects.

Qualifications

• 15+ years in quality engineering required.
• Experience in QE strategy and test automation.
• Experience with GenAI, LLM, RAG and AI-enabled test automation.
• Experience with agile delivery and enterprise SDLC.

Responsibilities

• Lead AI-assisted requirement analysis and test design.
• Create AI-driven test scenarios aligned to requirements.
• Govern LLM, RAG, and agentic AI validation.
• Define automation-ready assets and CI/CD governance.
• Define QE outcomes: coverage, leakage, ROI, delivery efficiency.
• Engage stakeholders to deliver QE outcomes.

Skills

Quality Engineering leadership

Test automation

Stakeholder management

AI QA governance

Education

Bachelor's degree in CS/IT/Engineering

Job description

Job Title: AI QA Lead
Location: Weehawken, NJ
Duration: 8 Months + Extension
Bill Rate: $77/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description

The AI-Native Quality Engineering Lead will own AI adoption, governance, and quality assurance across the end-to-end Quality Engineering lifecycle. The role focuses on Agentic AI, GenAI, LLM, RAG, specification-driven testing, automation, validation, governance, and release assurance.

Key Responsibilities

• Lead AI-assisted requirement analysis, risk identification, acceptance-criteria definition, and specification-driven test design.
• Drive AI-based generation of positive, negative, edge-case, and business-rule-driven test scenarios aligned to customer requirements.
• Govern LLM, RAG, and agentic AI validation, including model behaviour checks, hallucination validation, data quality, traceability, and responsible-AI controls.
• Guide automation-ready assets, self-healing automation frameworks, intelligent CI/CD orchestration, quality gates, and audit-ready reporting.
• Define measurable QE outcomes across test coverage, defect leakage, automation ROI, release confidence, and delivery efficiency.
• Engage with customers, engineering, architecture, DevOps, security, compliance, and leadership stakeholders to deliver business-aligned QE outcomes.

Experience and Qualifications

• Minimum 15 years of overall Quality Engineering experience is mandatory.
• Strong experience in QE strategy, test automation, customer-facing solution leadership, stakeholder management, and cross-functional delivery.
• Practical exposure to GenAI, LLM, RAG, agentic AI systems, AI evaluation, prompt engineering, or AI-enabled test automation.
• Experience with agile delivery, CI/CD practices, test governance, quality metrics, and enterprise SDLC delivery is expected.
• Bachelor’s degree in computer science, Information Technology, Engineering, or a related technical discipline is mandatory; master’s degree and relevant QE, cloud, automation, or AI certifications are preferred.
• Strong executive communication, mentoring capability, governance discipline, and ability to deliver reliable, auditable, business-aligned AI Quality Engineering outcomes.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.