INTL India QA AI Director

Job Description

This role is focused on helping organizations evaluate how they are currently leveraging AI and identifying opportunities to drive greater strategic value. At the Director level, you would own executive‑level client engagement, leading high-level conversations to understand existing AI ecosystems, decision-making rationale, and long-term business objectives. You would translate these insights into scalable, forward-looking strategies that align AI investments with outcomes such as cost optimization, operational efficiency, and accelerated innovation, while ensuring successful end-to-end delivery across global teams.

A core part of this role is leading and scaling large, distributed QA organizations. You would oversee teams of 100+ QA professionals initially based in India, with responsibility expanding to global team management. This includes managing QA teams deployed to client environments, setting direction on testing strategy, prioritization, and execution, while ensuring consistency, quality, and delivery against client expectations. You would act as the primary escalation point, stepping in to support teams when workloads increase or when technical challenges arise.

This is a balanced leadership role that blends strategic oversight with hands-on technical credibility. Approximately 50% of your time will be spent managing teams, leading client engagements, and driving delivery, while the remaining 50% will involve staying close enough to the technology to guide engineers effectively. You should be comfortable understanding and reviewing code, troubleshooting complex QA challenges, and providing hands-on support when needed to unblock teams.

A key component of the role is advising on the evolution of QA organizations in an AI-enabled landscape. You will provide strategic direction on modernizing testing ecosystems, helping clients assess their current state and defining a roadmap for transformation. This includes guiding transitions from legacy tools like Selenium to modern frameworks such as Playwright, supporting shifts from manual to automated and AI-assisted testing, and recommending low-code or no-code platforms where appropriate. The focus is on enabling scalable, enterprise-level transformation rather than solely driving implementation.

Overall, this role is centered on leading large-scale AI and QA transformation initiatives, managing global teams, influencing senior stakeholders, and ensuring organizations can operationalize AI in a practical, scalable, and impactful way.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

15+ years of experience in QA focused on UI and API testing

6+ years of experience in a management level role

QA for LLMs

Understand advanced AI concepts such as:

 ○ LLM architecture

 ○ Model prompting and fine-tuning

 ○ Hallucination detection and mitigation strategies

Manage teams of 100+ QA members Consulting industry