Automation Architect

Job Summary:

We are looking for an experienced Automation Architect with strong expertise in designing, developing, and governing scalable test automation frameworks using Java, Selenium, Playwright, and TypeScript, along with hands-on knowledge of Generative AI (GenAI) and Large Language Models (LLMs).

The ideal candidate will drive automation strategy, framework architecture, technical standards, and engineering best practices across projects. This role requires a strong combination of technical expertise, architectural vision, leadership, and governance capabilities, with a focus on integrating AI-driven testing solutions into enterprise automation ecosystems.

Work Location: Chennai, Coimbatore, Bangalore and Pune

Required Skill:

• Overall 15+ years of experience and minimum 4+ years of relevant experience in Automation Architect role is must.
• The ideal candidate is a hands-on Automation Architect who combines deep technical expertise in Java, Selenium, Playwright, and TypeScript with a strong understanding of GenAI and LLM technologies.
• The candidate should be capable of defining automation architecture, driving engineering governance, mentoring teams, and introducing innovative AI-driven testing approaches to improve software quality, delivery speed, and automation efficiency.

Secondary Skills Good to Have

• Experience with DeepEval and RAGAS for LLM evaluation.
• Working knowledge of Python for scripting, automation utilities, and AI integrations.
• Understanding of RAG architectures, embeddings, vector databases, and prompt engineering.
• Experience with DevOps practices and CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
• Knowledge of API automation, performance testing, cloud-based test execution, and containerization.
• Familiarity with AI-assisted test generation and intelligent test maintenance solutions.

Key Responsibilities

1. Automation Framework Design & Architecture

• Define and drive the enterprise-wide test automation strategy, architecture, and roadmap.
• Design, develop, and maintain scalable, reusable, modular, and maintainable automation frameworks.
• Lead framework development using Java, Selenium, Playwright, and TypeScript.
• Establish automation design patterns, coding standards, reusable components, and best practices.
• Define strategies for UI, API, integration, and end-to-end test automation.
• Evaluate emerging automation technologies and recommend suitable tools and frameworks.
• Ensure automation solutions are reliable, scalable, secure, and aligned with enterprise architecture standards.

2. GenAI & LLM-Based Test Automation

• Explore and implement GenAI and LLM-powered solutions to enhance test automation capabilities.
• Design AI-assisted approaches for test case generation, test script creation, test data generation, defect analysis, and test maintenance.
• Evaluate and integrate LLM-based solutions into existing automation frameworks.
• Establish evaluation strategies to measure the accuracy, reliability, and effectiveness of AI-generated test outputs.
• Leverage tools such as DeepEval and RAGAS for evaluating LLM applications and Retrieval-Augmented Generation (RAG) pipelines.
• Define appropriate validation, monitoring, and quality controls for AI-driven testing solutions.

3. Technical Leadership & Governance

• Provide technical leadership and architectural guidance to automation engineers and QA teams.
• Define automation governance models, quality standards, review processes, and engineering guidelines.
• Establish metrics and KPIs to measure automation effectiveness, test coverage, execution stability, and return on investment.
• Conduct architecture reviews, code reviews, and technical assessments.
• Mentor team members and drive continuous improvement in automation maturity.
• Collaborate with development, QA, DevOps, product, and architecture teams to align automation initiatives with business objectives.
• Drive standardization and adoption of automation best practices across multiple teams and projects.

4. DevOps & CI/CD Integration

• Integrate automated test suites into CI/CD pipelines for continuous testing and rapid feedback.
• Collaborate with DevOps teams to optimize automation execution across development, testing, and deployment environments.
• Implement parallel execution, test reporting, failure analysis, and execution monitoring.
• Improve pipeline efficiency, test reliability, and overall release quality.