AI QA Lead

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

Job summary

Ethereum Technologies is seeking an AI QA Lead in Weehawken, NJ. The role focuses on AI adoption, governance, and quality assurance across the QE lifecycle, with emphasis on agentic AI, GenAI, LLM, and RAG.

You will guide test strategy, automation readiness, and release assurance while engaging diverse stakeholders to deliver business-aligned QE outcomes.

Qualifications

• 15+ years in Quality Engineering or QE leadership roles.
• Strong QE strategy, test automation, and cross-functional delivery.
• Experience with GenAI, LLM, RAG, and AI-enabled test automation.
• Experience with agile delivery, CI/CD, test governance, and enterprise SDLC.
• Bachelor’s degree in a technical field; master’s preferred.

Responsibilities

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

Skills

Quality Engineering

Test automation

GenAI/LLM

Stakeholder management

Education

Bachelor's degree in CS/IT/Engineering

Master’s degree preferred

Tools

CI/CD tooling

AI testing frameworks

Job description

Job Title: AI QA Lead

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

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.