Software QA Engineer - GenAI/LLM (8 to 12 yrs)

Lead the quality strategy for large-scale Generative AI products and platforms at Cisco, designing scalable testing and automation across AI pipelines, APIs, user interfaces, federated microservices, and multi-tenant SaaS architectures to ensure high product quality and release confidence.

• Lead the quality strategy for large-scale Generative AI products and platforms
• Design scalable testing and automation approaches across AI pipelines, APIs, user interfaces, federated microservices, and multi-tenant SaaS architectures
• Establish release-readiness practices using measurable quality gates, test traceability, production-representative environments, and data-driven Go/No-Go criteria
• Analyze model degradation, system failures, and test instability to drive root-cause analysis and improve reliability and resilience of the AI platform
• Partner with Engineering, Product, UX, DevOps, Documentation, and Customer Engineering while mentoring QA engineers and advancing quality-first engineering practices across teams

• Bachelor's degree in Computer Science, Engineering or related field (or higher) with 7+ years of experience, or equivalent MS/PhD with 4+ or 1+ years respectively
• Proven experience designing and implementing test strategies, automation frameworks, and test infrastructure for distributed software systems, cloud platforms, or SaaS products
• Python development experience with automated testing frameworks such as Pytest, Playwright, Selenium or equivalent
• Experience validating frontend and backend systems, including REST and/or GraphQL APIs, service integrations, CI/CD pipelines, and distributed microservice architectures
• Experience defining release-quality criteria and diagnosing complex system failures using test results, logs, metrics, and engineering data