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.
Accountabilities
- 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.
How Jobgether Works
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
