AI QA Lead

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

Job summary

Quantum Technologies LLC is seeking an AI QA Lead in Weehawken, NJ. The role owns AI adoption, governance, and quality assurance across the end-to-end QE lifecycle, focusing on Agentic AI, GenAI, LLM, RAG, and specification-driven testing.

You will define and drive test design, AI-generated scenarios, and governance controls. Strong leadership, executive communication, and cross-functional delivery experience are essential for success.

Qualifications

• Minimum 15 years of overall Quality Engineering experience is mandatory.
• Strong experience in QE strategy, test automation, and cross-functional delivery.
• Exposure to GenAI, LLM, RAG, and AI-enabled test automation is required.

Responsibilities

• Lead AI-assisted requirement analysis, risk identification, acceptance criteria, and test design.
• Drive AI-based generation of test scenarios aligned to customer requirements.
• Govern LLM, RAG, and agentic AI validation, including model checks and data quality.
• Guide automation-ready assets, self-healing automation, CI/CD orchestration, and audit reporting.
• Define QE outcomes across test coverage, defect leakage, automation ROI, and release confidence.
• Engage with customers, engineering, DevOps, security, and leadership to deliver QE outcomes.

Skills

QA leadership

Test automation

GenAI

LLM evaluation

CI/CD

Stakeholder mgmt

Education

Bachelor’s degree in CS/IT/Engineering

Master’s degree preferred

Tools

CI/CD pipelines

Audit/reporting tools

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.