Job Title: 

Technical Lead – Software Quality Assurance (QA) 

Location: 

India 

Experience: 

10 to 12 years 

Job Summary 

We are looking for a dynamic and visionary Technical Lead in Quality Assurance to lead end-to-end quality initiatives across both traditional software systems and next-generation Generative AI / Agentic AI technologies. This role requires strong expertise in QA strategy, automation, AI/LLM evaluation, and team leadership. The ideal candidate will be responsible for defining test approaches, mentoring teams, driving process improvement, and ensuring the delivery of high-quality software and AI solutions within time and budget. 

Key Responsibilities 

QA Strategy & Leadership 

Define and execute QA strategy across software products including GenAI agents, LLM-based tools, APIs, and web/mobile applications. 

Establish and monitor quality goals, test coverage, release readiness, and risk-based validation plans for AI and traditional systems. 

Drive test architecture and frameworks for both functional and AI-specific evaluations. 

Ensure best practices in STLC, SDLC, Agile methodologies, and CI/CD processes. 

Maintain and report test execution metrics, defect leakage, test effectiveness, and quality KPIs. 

Collaborate with cross-functional stakeholders across engineering, product, and data science teams to align quality goals. 

Team & Process Management 

Manage, mentor, and grow a team of QA engineers, automation experts, and analysts. 

Conduct performance reviews, skill-gap analysis, and career planning for team members. 

Support recruitment, onboarding, and scaling of the QA team. 

Foster a culture of continuous improvement, innovation, accountability, and learning. 

Facilitate effective internal and external communication regarding project updates, risks, and timelines. 

Automation & Tooling 

Lead development of test automation strategies using tools such as Selenium, Playwright, Cypress, Robot Framework. 

Integrate automation into CI/CD pipelines using tools like Jenkins, GitHub Actions, etc. 

Design and maintain performance testing frameworks using tools such as JMeter, LoadRunner, and SoapUI. 

Incorporate GenAI-specific test tools like DeepEval, PromptLayer, and LLM observability tools into automation pipelines. 

Apply basic scripting knowledge (Python/Java) for framework customization and tool integration. 

AI/GenAI/Agentic Evaluation 

Design robust evaluation frameworks for GenAI/LLM systems including: 

Output accuracy, hallucination detection, factual consistency. 

Prompt testing, adversarial scenarios, and edge case validation. 

Collaborate with AI/ML teams to define evaluation hooks, model behaviors, benchmarking standards, and observability. 

Use AI to generate and maintain test scenarios for intelligent systems. 

Essential Skills & Qualifications 

Bachelor’s/Master’s degree in Computer Science, Engineering, or related field. 

10+ years of QA experience with at least 4+ years in a leadership/managerial capacity. 

Proven experience in building and scaling automation frameworks and QA practices. 

Hands-on experience with Generative AI model behaviors (e.g., GPT-4, Claude, RAG pipelines, LLMs). 

Strong understanding of Agile/Scrum methodologies, DevOps pipelines, CI/CD processes. 

Familiarity with test management tools and requirement traceability processes. 

Ability to interpret and assess software requirements, perform impact analysis, and contribute to high-quality test design. 

Deep understanding of quality assurance artifacts including test plans, test cases, test data, and defect life cycle. 

Preferred Qualifications 

ISTQB or equivalent certification. 

Familiarity with cloud platforms (AWS, Azure). 

Hands-on experience with AI-driven test case generation and maintenance. 

Ability to design automation and performance strategies independently. 

Strong understanding of OOP concepts, database queries, and systems integration. 

Excellent analytical, communication, presentation, and leadership skills. 

Demonstrated ability to mentor, coach, and manage teams with empathy and efficiency. 

This role offers a unique opportunity to be at the forefront of software quality assurance — combining traditional QA excellence with AI-driven innovation. If you're passionate about quality and future-facing technologies, we'd love to hear from you.