Generative AI Quality Engineer - Assistant Vice President
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 bank brand and metro location increase competition despite niche AI-quality specialization.
Requires deep AI/ML testing, safety, and RAG expertise, limiting cross-industry transferability.
Explicit 8+ years and 3+ years RAG plus AI safety and performance mandates make filters stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end quality assurance for complex autonomous AI systems, including Agentic AI and Retrieval-Augmented Generation (RAG) pipelines, ensuring safety, accuracy, explainability, and resilience at scale.
Design, build, and maintain automated test frameworks and continuous validation pipelines for non-deterministic AI models and multi-agent workflows.
Lead AI safety, security, performance, and reliability testing activities including red-teaming, adversarial testing, load/stress testing, and compliance validation aligned with regulatory standards.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, or related field; Master’s degree is a plus.
8+ years of experience in software or AI/ML quality engineering.
3+ years hands-on experience specifically with RAG systems or Agentic AI.
Proven experience building automated test frameworks for AI systems and conducting AI safety/security performance testing.
Ideal Candidate Profile
Deep expertise in modern AI quality engineering covering agentic AI, multi-agent orchestration, RAG architectures, and AI safety/alignment principles.
Experienced in performance engineering and operationalizing AI systems with a focus on latency, scalability, and cost optimization.
Ability to lead complex testing across multi-disciplinary domains including adversarial security testing, compliance with data privacy regulations, and chaos engineering for AI resilience.