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Full-time
Posted 21d ago
~40 hrs/week
Responsibilities
Lead the design and implementation of an AI-driven QA strategy to transform testing processes. Architect next-generation QA frameworks leveraging AI/ML and Generative AI to improve quality and efficiency.
Requirements
Requires over 10 years of experience in QA and automation with strong expertise in programming and AI/ML concepts. Must be proficient in various automation frameworks and CI/CD tools to build scalable AI-enabled solutions.
Full job description
Job Summary
Lead the design and implementation of an AI-driven QA strategy to transform testing processes.
Architect and build next-generation QA frameworks leveraging AI/ML and Generative AI.
Drive innovation across test automation, defect prediction, and test optimization to improve quality, efficiency, and speed.
Act as a technical leader and advisor, enabling teams to adopt AI-powered testing solutions at scale.
Job Requirements
Define and execute the AI-based QA strategy across projects.
Design and develop scalable AI-enabled automation frameworks.
Implement AI/GenAI use cases such as:
Test case & script generation
Defect analysis & prediction
Risk-based and intelligent testing
Test data generation
Build self-healing automation, smart reporting, and predictive analytics solutions.
Evaluate and integrate AI tools, LLMs, and QA platforms.
Collaborate with cross-functional teams (QA, Dev, Product, DevOps).
Establish best practices, governance, and reusable QA components.
Develop POCs and scale them to enterprise-level solutions.
Define and track automation and AI effectiveness metrics.
Mentor teams on AI-driven QA practices.
Education
10+ years in QA, automation, or architecture roles.
Strong experience in test automation frameworks (Selenium, Playwright, Cypress, Appium, REST Assured, etc.).
Solid understanding of AI/ML/GenAI concepts applied to QA.
Hands-on experience with LLM-based solutions (test generation, log analysis, etc.).
Programming expertise in Python, Java, or JavaScript.
Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps, etc.).
Knowledge of API, UI, performance, security testing, and test data management.
Ability to design and integrate AI-first QA solutions.
Strong architecture, problem-solving, and stakeholder management skills.
Making your data infrastructure more seamless, more dynamic, and higher performing than ever before.
Industry
Software Development
Company size
10,001+ employees
Founded
1992
Headquarters
San Jose, California
LinkedIn followers
783,767
Total funding
$1.3B
Build an intelligent data infrastructure with NetApp that brings it all together — a smarter way to let data thrive. Any application, any data, anywhere.
Offices: 3060 Olsen Dr, San Jose, California 95128, US · 800 Cranberry Woods Dr, Ste 300, Cranberry Township, PA 16066, US · 7301 Kit Creek Road, Research Triangle Park, NC 27709, US · Raj Bhavan Road, Bengaluru, Karnataka 560001, IN · 3718 N Rock Rd, Wichita, Kansas, US
Making your data infrastructure more seamless, more dynamic, and higher performing than ever before.
Industry
Software Development
Company size
10,001+ employees
Founded
1992
Headquarters
San Jose, California
LinkedIn followers
783,767
Total funding
$1.3B
Build an intelligent data infrastructure with NetApp that brings it all together — a smarter way to let data thrive. Any application, any data, anywhere.
Offices: 3060 Olsen Dr, San Jose, California 95128, US · 800 Cranberry Woods Dr, Ste 300, Cranberry Township, PA 16066, US · 7301 Kit Creek Road, Research Triangle Park, NC 27709, US · Raj Bhavan Road, Bengaluru, Karnataka 560001, IN · 3718 N Rock Rd, Wichita, Kansas, US