Senior AI Quality & Reliability Engineer - Hybrid

VeeRteq Solutions Inc.; Irving (TX); Hybrid; USD 140,000 - 200,000; Full time

Job summary

VeeRteq Solutions Inc. seeks a Sr AI Quality & Reliability Engineer to lead hands-on AI quality initiatives across enterprise AI platforms, including LLM-enabled workflows and intelligent automation.

The role blends practical quality engineering with cutting-edge AI validation, testing modernization, and governance-aligned processes, plus mentorship and cross-functional collaboration to advance reliability and responsible AI deployment.

Qualifications

• Engineering degree BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.

Responsibilities

• Design and execute AI Quality Engineering activities for AI-powered apps and workflows.
• Develop AI-native testing, validation processes, and runtime quality controls.
• Mentor delivery teams and promote continuous improvement in AI quality.
• Collaborate with AI Engineering, AIOps, Security, Governance, Clinical, and Data teams.
• Coordinate validation activities, defect management, and release support.
• Support observability, telemetry alignment, and runtime reliability in AI systems.

Skills

AI quality engineering

Quality assurance

Testing

Runtime observability

AI validation

Cross-functional collaboration

Education

Engineering degree BE/ME/BTech/MTech/BSc/MSc

Job description

VeeRteq Solutions Inc. seeks a Sr AI Quality & Reliability Engineer to lead hands-on AI quality initiatives across enterprise AI platforms, including LLM-enabled workflows and intelligent automation.

The role blends practical quality engineering with cutting-edge AI validation, testing modernization, and governance-aligned processes, plus mentorship and cross-functional collaboration to advance reliability and responsible AI deployment.