Test Architect - AI
Fractal Analytics · Hyderabad
- Experience15–19 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelexecutive
- Posted2 Sept 2026
About Fractal Analytics
Fractal Analytics is hiring in Hyderabad in technology software. This role looks for around 15+ years of experience.
Skills
- ETL testing
- data pipelines
- Python
- SQL
- automation testing
- QA methodologies
- DevOps
- Agile
- CI/CD pipelines
- PySpark
- API testing
- Python BDD
- Docker
- AI/ML model validation
- Selenium
- Pytest
The role
A test architect at a technology software company designs and validates AI/ML models through automation testing and ETL testing, while building data pipelines and integrating CI/CD pipelines. The role applies Python, SQL scripting, PySpark, API testing, Selenium, Pytest, Docker, and Agile practices to strengthen end-to-end quality coverage.
Full job description
Requirements:
14 to 19 years of software testing experience.
8+ years of experience working as a QA engineer or in a similar capacity.
Must have experience in ETL testing and creating data pipelines.
Excellent experience in Python and SQL scripting.
Expert in automation testing and creating end-to-end use cases.
Knowledge of QA methodologies, tools, and techniques.
Knowledge of DevOps principles.
Experience working in an Agile environment.
Excellent communication skills and ability to work with different stakeholders to improve the company's procedures and to ensure the vision is communicated clearly.
Previous experience as a test automation engineer at various development stages and integrating with CI/CD pipelines (e. g., unit, integration, and load tests).
Experience with testing PySpark code and API testing.
Experience with test automation frameworks (Python BDD).
Experience with Docker containers.
Experience in validating AI/ML models for accuracy, bias detection, and performance monitoring.
Knowledge of AI-driven test automation platforms and their integration with CI/CD pipelines.
Analytical thinking, problem-solving skills, and attention to detail.
QA management experience.
Experience working with professional software engineering practices and best practices for the full software development life cycle.
Experience improving product test coverage and effectiveness.
Experience in Selenium Automation testing using Python and Pytest.