Senior QA Engineer - AI Application (AI/ML Verification)

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact.

Job Summary

Ciena is looking for a Senior QA Engineer to join our AI/ML engineering team in Gurugram. In this role, you’ll ensure the quality, security, and reliability of Ciena’s next-generation AI-powered network automation solutions. You’ll design and run advanced test strategies, spanning LLM validation, adversarial testing, and knowledge-base accuracy, that help deliver intelligent, resilient products to customers worldwide.

You will work closely with data scientists, ML engineers, and product teams to detect issues before they impact our customers, continuously raising the bar for performance and trust in AI.

Roles And Responsibilities

• AI Agent & Application Testing: Design and execute targeted test for LLM-powered AI agents and applications using functional, performance, security, and usability methods, adapting approaches for AI/ML-specific challenges.
• Adversarial & Edge Case Testing: Build simulations and stress tests to uncover edge cases and strengthen AI models against unexpected or malicious inputs (e.g. RAG poisoning, prompt injection).
• RAG & Knowledge Base Validation: Assess accuracy, efficiency, and security of RAG pipelines and knowledge integrations. Collaborate with teams to address performance issues and prevent information leakage.
• Prompt Engineering: Develop, refine, and test effective LLM prompts. Monitor model responses for accuracy, bias, and security risks, contributing to prompt libraries and AI/ML model fine-tuning.
• Research & Development: Stay current with AI/ML validation trends, tools, and standards; evaluate new techniques and drive best practices at Ciena.
  
  

The Must Haves

• 3+ years of experience in AI/ML test engineering, ideally for cloud based solutions
• Additional professional experience in software development, test engineering, or related technical roles that demonstrates your ability to lead complex validation initiatives.
• Strong foundation in AI/ML concepts and validation techniques.
• Proficiency in Python or another scripting language for test automation.
• Hands-on experience with APIs, CI/CD pipelines, and database systems (e.g. SQL).
• Familiarity with data analysis and visualization tools for large datasets.
  
  

Nice to Have

• Knowledge of security vulnerabilities and their impact on AI/ML models.
• Experience with: DevOps practices, AI model fine-tuning, Google ADK.
  
  

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At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination.

Ciena is an Equal Opportunity Employer, including disability and protected veteran status.

If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.