Director, Quality Engineering & AI Testing

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director, Quality Engineering & AI Testing in India.

This is a senior leadership role responsible for defining and scaling world-class quality engineering practices across enterprise SaaS and AI-driven products. You will shape the global quality strategy, ensuring reliability, scalability, and security across complex platforms that power customer-facing AI experiences. The role spans traditional software quality engineering as well as modern AI and LLM testing, requiring deep expertise in automation, CI/CD, and distributed systems. You will work closely with engineering, product, and applied AI teams to embed quality throughout the development lifecycle and strengthen release confidence at scale. A key focus will be building robust frameworks for testing agentic AI systems, including evaluation of accuracy, safety, and reliability. This is a high-impact leadership position in a fast-paced environment focused on innovation, operational excellence, and enterprise-grade delivery.

• Define and lead the global quality engineering strategy, establishing standards, governance models, and release readiness frameworks across the organization.
• Build, scale, and mentor a high-performing global Quality Engineering organization, fostering a strong culture of ownership and continuous improvement.
• Design and implement scalable test automation frameworks across UI, API, integration, regression, and performance testing domains.
• Embed quality practices into CI/CD pipelines, ensuring automated quality gates and robust release validation processes.
• Develop and operationalize AI and agentic testing frameworks, including evaluation of LLM-based systems for accuracy, safety, hallucination control, and reliability.
• Drive enterprise-grade quality across APIs, cloud-native applications, integrations, and distributed systems, ensuring scalability and resilience.
• Establish production monitoring, defect prevention strategies, and root-cause analysis processes to improve long-term platform stability.
• Define KPIs and analytics frameworks to measure quality, automation coverage, release performance, and customer-impacting incidents.

Requirements:

• 12+ years of experience in Software Quality Assurance, Quality Engineering, or Software Testing roles.
• 5+ years of experience leading global QA or Quality Engineering organizations in enterprise or SaaS environments.
• Strong expertise in test automation, CI/CD pipelines, and modern software engineering practices.
• Experience testing distributed systems, microservices, APIs, cloud-native platforms, and large-scale enterprise applications.
• Proven ability to scale quality functions in high-growth, fast-paced technology environments.
• Strong understanding of performance, scalability, security, and reliability testing practices.
• Preferred experience with AI/ML systems, including Generative AI, LLM-based applications, or Agentic AI platforms.
• Familiarity with AI testing concepts such as prompt evaluation, model validation, and AI quality metrics.
• Strong leadership and communication skills with the ability to drive cross-functional alignment across engineering, product, and AI teams.
• Experience working with enterprise customers and large-scale production deployments is a strong plus.

Benefits:

• Opportunity to lead and shape a global Quality Engineering function in a fast-growing AI-driven organization.
• Exposure to cutting-edge AI, Generative AI, and agentic systems at enterprise scale.
• Leadership role with high strategic impact across engineering, product, and AI organizations.
• Collaborative, innovation-focused environment with strong cross-functional engagement.
• Opportunity to build and scale teams, frameworks, and quality standards from the ground up.
• Competitive compensation aligned with senior leadership responsibilities.
• Inclusive and growth-oriented workplace supporting continuous learning and development.