The application window is expected to close on: 08/24/2026
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
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:- BS in Computer Science, Engineering, or a related field with 12+ years of relevant experience; or a Master's of Science Degree with 8+ years of related experience, or a PhD with 5+ years of related 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 complex 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.
- Demonstrated experience building scalable test frameworks and establishing quality 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.
The starting salary range posted for this position is $214,100.00 to $309,800.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
The applicable full salary ranges for this position, by specific state, are listed below:
New York City Metro Area:
$214,100.00 - $356,300.00
Non-Metro New York state & Washington state:
$192,400.00 - $317,200.00
* For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
