Automation engineer, AI-enabled testing

A technology organization is expanding its quality engineering function to support a next-generation platform initiative. This role focuses on building and advancing automated testing capabilities with a strong emphasis on Python-based automation, data validation, microservices testing, and the practical use of AI tools to improve test effectiveness and coverage.

The automation engineer will work hands-on designing scalable automation frameworks and applying AI-assisted techniques across the testing lifecycle to support complex, distributed systems.

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Responsibilities

Automation and framework development

• Design, build, and maintain modern automation frameworks.
• Develop and execute automated test suites across API, microservices, and user interface layers.
• Create reusable automation components that support scalability and long-term maintainability.
• Implement performance and functional testing using industry-standard tools.

AI-enabled testing practices

• Apply AI tools to support test case creation from requirements and technical documentation.
• Use AI-assisted approaches to identify edge cases, negative scenarios, and regression risks.
• Leverage AI to suggest automation scripts, reusable components, and optimization opportunities.
• Improve regression strategies by analyzing code changes and identifying impacted areas.

Data validation and analysis

• Perform data validation and reconciliation using SQL and Python.
• Identify data anomalies, trends, and inconsistencies through automated checks.
• Compare source and target datasets as part of system validation and testing workflows.

Microservices and cloud testing

• Validate microservices-based and distributed system architectures.
• Test APIs and service integrations in cloud environments.
• Collaborate with engineering teams to understand service interactions and integration points.

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Required experience and skills

• Strong proficiency in Python.
• Strong working knowledge of SQL for data validation and analysis.
• Experience designing and maintaining test automation frameworks.
• Hands-on experience testing APIs, microservices, and distributed systems.
• Experience with modern automation and testing tools such as JMeter, PyTest, Selenium, or equivalent frameworks.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Practical experience using AI tools to enhance:
  • Test generation
  • Automation development
  • Regression optimization
  • Data validation

Preferred experience

• Experience working with notebook-based environments used for data analysis.
• Background supporting data-intensive or analytics-driven platforms.
• Familiarity with enterprise-scale testing environments.
• Exposure to Java-based systems.

FAQ

1. What are the core responsibilities of an Automation Engineer in AI-enabled testing?
This role focuses on designing and implementing automated testing solutions enhanced by AI/ML capabilities. It includes building intelligent test frameworks, improving test coverage, and reducing manual effort through automation. The engineer also ensures quality across applications by integrating testing into the development lifecycle.

2. How is AI used in test automation?
AI is used to generate test cases, predict high-risk areas, and optimize test execution. It can also enable self-healing test scripts that adapt to UI or API changes. These capabilities improve efficiency and reduce maintenance overhead.

3. What types of systems are tested in this role?
Systems may include web applications, APIs, microservices, and data platforms. The role often involves validating both functional and non-functional requirements. Testing may also cover performance, security, and reliability aspects.

4. What tools and technologies are commonly used?
Common tools include Selenium, Cypress, and Playwright for UI automation, along with Python or Java for scripting. AI-enabled testing tools and frameworks may also be used. CI/CD tools help integrate automation into deployment pipelines.

5. How does this role integrate with CI/CD pipelines?
Automation tests are embedded into CI/CD workflows to run continuously during development and deployment. This ensures early detection of defects and faster feedback cycles. Integration supports reliable and efficient software delivery.