IT Software Engineer 4 – AI Architect for Testing - Generative AI – Quality Engineering

Largeton Group 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 and accelerate testing efficiency.

Responsibilities:

• 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
• 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
• Design Scalable AI-enabled Testing Frameworks Supporting
• Functional testing
• API testing
• UI automation and validation
• Performance testing
• Security testing support
• 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
• 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

Requirements:

• Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or related technical disciplines
• 10 years of overall industry experience
• Strong background in Software Testing, QA Automation, Quality Engineering, and Test Architecture
• Minimum 3+ years of experience implementing Artificial Intelligence solutions, Machine Learning systems, Generative AI solutions, and Enterprise AI initiatives
• Hands-on Experience With Large Language Models (LLMs), Natural Language Processing (NLP), Machine Learning, Prompt Engineering, Enterprise AI implementations, and AI-assisted workflows and automation
• Highest Priority Programming Languages: Java and SQL
• Top Required Testing Tools: Selenium and Playwright
• Strong Understanding Of SDLC (Software Development Life Cycle), STLC (Software Testing Life Cycle), QA operations and testing methodologies, Automation frameworks, CI/CD pipelines, and Quality engineering best practices
• Experience building AI copilots or AI-assisted QA solutions
• Experience integrating AI into enterprise testing environments
• Familiarity with Retrieval-Augmented Generation (RAG), AI agents, Workflow automation, Observability and log analysis tools, and 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 GCP
• Additional Preferred Programming Languages: Python and JavaScript
• Additional Preferred Tools: Karate, TestNG, API testing frameworks/tools, and Tosca