AI QE Architect

Job role: AI QE Architect

Location: Charlotte, North Carolina (onsite)

Job Description:

We are seeking an AI QE Architect to serve as a dedicated AI Change Agent for our customer. In this role, you will lead the transition from traditional Quality Engineering to an AI-augmented ecosystem. You will be responsible for defining the strategy, building high-impact AI use cases, and modernizing the QE landscape using Generative AI and Agentic frameworks.

A critical component of this role is deep familiarity with Claude Code, as it is a core tool within the customer’s existing environment.

Core Responsibilities

• Strategy & Assessment: Evaluate the current QE landscape (tools, frameworks, processes, and team maturity). Define and drive a comprehensive Agentic AI-led QE transformation roadmap.
• AI Implementation: Design and implement hands-on AI-driven QE solutions, including:
• Autonomous Test Generation: Creating test cases and scripts using LLMs.
• Self-Healing Automation: Building frameworks that automatically adapt to UI/code changes.
• Intelligent Analytics: Developing defect prediction models and automated triaging systems.
• Synthetic Data: Implementing AI-driven test data generation.
• Ecosystem Modernization: Integrate AI capabilities into existing CI/CD pipelines and DevOps workflows to accelerate delivery.
• Tooling & R&D: Evaluate next-gen QE platforms, build Proof of Concepts (POCs), and develop reusable accelerators for scalable adoption across the enterprise.
• Leadership (Player-Coach): Act as a hands-on technical leader who can both architect high-level strategy and contribute directly to code and implementation.
• Stakeholder Management: Collaborate with business, product, and engineering leadership to communicate progress, outcomes, and the value of AI initiatives.

Technical Skills & Qualifications

• Foundational Experience: 10–14 years of experience in Quality Engineering or Software Development in Test (SDET), with a track record of leading enterprise-scale transformations.
• AI & GenAI Expertise: * Proven experience with Agentic AI and GenAI frameworks (e.g., LangChain, CrewAI, AutoGen, or Cursor).
• Specific knowledge of Claude Code and its application in development/testing workflows.
• Deep understanding of LLMs and multi-agent systems applied to QE.
• Core QE Proficiency: Expertise in modern automation tools like Playwright, Selenium, or Cypress.
• Strong grasp of API testing, microservices, and cloud-native architectures.
• DevOps & Cloud: Hands-on experience with GitHub Actions and CI/CD integration.
• Familiarity with cloud platforms (AWS, Azure, or GCP) in the context of AI and testing.
• Execution: Ability to build POCs from scratch and scale them into production-ready frameworks.
• Communication: Exceptional ability to explain complex AI concepts to non-technical stakeholders and senior leadership.