AI Quality Engineering Lead - GenAI & Governance

Machine Learning Technologies, LLC; Weehawken (NJ); Sur place; USD 88 000 - 125 000; Plein temps

Résumé du poste

Machine Learning Technologies, LLC is seeking 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, governance, and release assurance.

You will lead AI-assisted requirement analysis, define acceptance criteria, and drive AI-generated test scenarios aligned to customer needs while governing LLM and agentic AI validation.

Qualifications

• 15+ years of Quality Engineering experience mandatory.
• Experience with 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.
• Bachelor’s degree in computer science, information technology, engineering, or related technical discipline mandatory; master’s and relevant QE/AI certs preferred.
• Strong executive communication, mentoring capability, governance discipline, and ability to deliver auditable, business-aligned AI QE outcomes.

Responsabilités

• 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 behavior 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.

Connaissances

QE strategy

Test automation

Stakeholder mgmt

Executive comms

Formation

Bachelor’s degree in CS/IT/Engineering

Master’s degree or QE/AI certs preferred

Outils

CI/CD tooling

Description du poste

Machine Learning Technologies, LLC is seeking 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, governance, and release assurance.

You will lead AI-assisted requirement analysis, define acceptance criteria, and drive AI-generated test scenarios aligned to customer needs while governing LLM and agentic AI validation.