The application window is expected to close on: 10/26/2026 Meet the Team
The AI Software & Platform team delivers AI products and platform for all Cisco Secure products and portfolios so businesses around the world can defend against threats and safeguard the most vital aspects of their business with security resilience. Our passion lies in making our customers secure by simplifying security with zero compromise!
Your Impact
Lead the quality strategy for large-scale Generative AI products and platforms, defining how we validate AI services, distributed systems, and end-to-end customer experiences.
Design scalable testing and automation approaches across AI pipelines, APIs, user interfaces, federated microservices, and multi-tenant SaaS architectures to improve product quality and release confidence. 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 the reliability and resilience of our AI platform. Partner with Engineering, Product, UX, DevOps, Documentation, and Customer Engineering while mentoring QA engineers and advancing quality-first engineering practices across teams.
Minimum Qualifications
Bachelor’s Degree, Engineering, or a related field, combined with 6 years of relevant experience, or Master's Degree in Computer Science, Engineering, combined with 4 years of experience or PhD, combined with 2 years of practical experience.
Experienced designing and implementing test strategies, automation frameworks, and test infrastructure for distributed software systems, cloud platforms, or SaaS products.
Python development experience and 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 system failures using test results, logs, metrics, and other engineering data.
Preferred Qualifications
Experience testing Generative AI, AI/ML platforms, AI agents, LLM-powered applications, or other AI-based products, including evaluation of model quality and degradation.
Experience designing AI-agent-assisted QA workflows using tools such as Cursor, Claude, Codex CLI, or equivalent, including agent-based or MCP-based test orchestration.
Experience testing multi-tenant cloud platforms and managing complex AI test environments involving datasets, model versions, feature flags, Kubernetes, and deployment technologies such as ArgoCD.
Experience building scalable test frameworks and establishing practices across multiple engineering teams, including mentoring QA or software engineers.
Knowledge of security, privacy, data governance, or compliance requirements relevant to enterprise SaaS and AI products.
Pourquoi Cisco?
Chez Cisco, nous révolutionnons la façon dont les données et les infrastructures se connectent et protègent les entreprises à l’ère de l’intelligence artificielle et au-delà. Nous innovons sans crainte de manquer quelque chose depuis 40 ans pour créer des solutions qui optimisent la collaboration entre les humains et la technologie dans les mondes physiques et numériques. Ces solutions offrent aux clients une sécurité, une visibilité et des analyses inégalées sur l’ensemble de l’empreinte numérique.
Alimentés par la profondeur et l’étendue de notre technologie, nous expérimenterons et créons des solutions significatives. Ajoutez à cela notre réseau mondial de personnes fonceuses et d’experts, et vous verrez que les possibilités de grandir et de bâtir sont illimitées. Nous travaillons en équipe, en collaborant avec empathie pour réaliser de très grandes choses à l'échelle mondiale. Parce que nos solutions sont partout, notre impact est…