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À propos
Overview The Engineering team is seeking a candidate to lead the design and development of AI-powered test automation capabilities across client. This role will leverage AI and LLM technologies to fundamentally transform how functional, regression, and integration testing is created, maintained, and executed.
We are looking for someone who combines strong quality engineering fundamentals with a passion for AI-driven development. The successful candidate will define the strategy for AI-powered test automation, build frameworks that use AI to generate and maintain test suites, and establish standards that ensure consistent quality across applications.
Key Responsibilities Test Automation & AI Integration
Design and build AI-powered test automation frameworks that leverage LLMs to generate, execute, and maintain test cases for functional, regression, and integration testing
Develop AI-driven approaches to analyze application code and automatically generate meaningful test coverage
Build and maintain reusable automation components that integrate AI capabilities into existing test pipelines
Create self-healing test suites that use AI to adapt to application changes and reduce maintenance overhead
Strategy & Standards
Define the overall strategy and roadmap for AI-powered quality engineering across the organization
Establish standards for test automation quality, coverage thresholds, and AI-generated test validation
Evaluate and integrate AI/LLM tools into the testing lifecycle, assessing their reliability and enterprise fit
Define best practices for prompt engineering in the context of test generation and validation
Track and report on the effectiveness of AI-driven testing compared to traditional approaches
Collaboration
Partner with agentic code development and AI tooling teams to ensure quality is embedded throughout the AI-powered SDLC
Work with development teams to integrate AI-driven testing into their CI/CD pipelines
Collaborate with InfoSec and compliance teams to ensure AI-generated tests meet enterprise requirements
Share knowledge and best practices across teams, building organizational capability in AI-powered testing
Qualifications Required Experience
Extensive experience in quality engineering, test automation, or software development in an enterprise environment
Demonstrated experience building and maintaining test automation frameworks
Strong programming background in multiple languages (Python, JavaScript/TypeScript, Java, etc.)
Experience with AI/LLM tools and platforms (Claude, ChatGPT, Copilot, or similar)
Fluency with Agile delivery methodologies and Test-Driven Development (TDD)
Experience integrating test automation into CI/CD pipelines
Technical Skills
Deep knowledge of test automation frameworks and tools (Selenium, Playwright, Cypress, or similar)
Understanding of prompt engineering principles applied to test generation and validation
Experience with API testing, contract testing, and integration testing patterns
Familiarity with AI agent frameworks and how they can be applied to testing workflows
Knowledge of DevOps practices and CI/CD tooling
Strong technical troubleshooting and problem-solving skills
Preferred
Hands-on experience with Claude Code or similar AI development tools
Experience with MCP (Model Context Protocol) integrations
Soft Skills
Ability to define and communicate a technical vision for AI-powered quality engineering
Strong analytical mindset - able to evaluate AI-generated outputs critically
Self-directed with ability to work independently while collaborating across teams
Ability to learn quickly in the fast-moving AI space
Strong written and verbal communication skills
Education Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field
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Compétences linguistiques
- English
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