Generative AI Test Architect

Client is seeking an experienced AI Architect for Testing to lead enterprise-wide transformation initiatives focused on applying Artificial Intelligence and Generative AI within Quality Engineering and Software Testing organizations.

This role will drive the strategy, architecture, and implementation of AI-enabled testing solutions designed to improve software quality, accelerate testing efficiency, enhance automation capabilities, and modernize QA operations across the SDLC/STLC lifecycle.

The ideal candidate will possess a strong background in QA automation, enterprise testing architecture, AI/ML technologies, and modern software engineering practices. This individual will partner closely with QA teams, developers, DevOps engineers, and product stakeholders to integrate AI-driven capabilities into enterprise testing ecosystems., AI Strategy & Testing Transformation Define and lead the AI vision and strategy for enterprise testing organizations Establish AI adoption roadmaps and best practices for QA teams Drive AI-enabled transformation initiatives across testing and quality engineering functions Identify opportunities where AI can improve testing efficiency, coverage, and quality

AI-Driven Testing Solutions Design and implement AI-powered solutions for: Test case generation Test data creation Automated test maintenance Defect prediction Root cause analysis Failure and log analysis Intelligent regression testing Risk-based test prioritization AI-assisted automation workflows

Framework & Architecture Design Design scalable AI-enabled testing frameworks supporting: Functional testing API testing UI automation and validation Performance testing Security testing support

QA Engineering & DevOps Integration Integrate AI capabilities into CI/CD pipelines and quality engineering workflows Collaborate with QA, Engineering, Product, and DevOps teams Support enterprise-scale testing modernization initiatives Promote AI-assisted development and testing methodologies

Leadership & Enablement Mentor QA engineers and automation teams on AI-assisted testing practices Lead proofs of concept, pilot programs, and enterprise rollouts Establish standards and governance for AI adoption within QA organizations

Required Qualifications Education Bachelor's or Master's degree preferred in: Computer Science Engineering Data Science Related technical disciplines

Experience 10 years of overall industry experience Strong background in: o Software Testing o QA Automation o Quality Engineering o Test Architecture Minimum 3+ years of experience implementing: o Artificial Intelligence solutions o Machine Learning systems o Generative AI solutions o Enterprise AI initiatives

Note: Machine learning experience may contribute toward the AI requirement; however, candidates must demonstrate direct exposure to AI/GenAI technologies.

Required Technical Skills AI / Machine Learning Hands-on experience with: Large Language Models (LLMs) Natural Language Processing (NLP) Machine Learning Prompt Engineering Enterprise AI implementations AI-assisted workflows and automation

Programming Languages Highest Priority Java SQL

Additional Preferred Languages Python JavaScript

Testing Tools & Frameworks Top Required Tools Selenium Playwright

Additional Preferred Tools Karate TestNG API testing frameworks/tools Tosca (preferred)

Quality Engineering & SDLC Knowledge Strong understanding of: SDLC (Software Development Life Cycle) STLC (Software Testing Life Cycle) QA operations and testing methodologies Automation frameworks CI/CD pipelines Quality engineering best practices

Preferred Qualifications Experience building AI copilots or AI-assisted QA solutions Experience integrating AI into enterprise testing environments Familiarity with: o Retrieval-Augmented Generation (RAG) o AI agents o Workflow automation o Observability and log analysis tools o Scalable enterprise architecture design Experience working in Agile/Lean environments Knowledge of DevOps and modern engineering practices Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform