Responsibilities:

- Design and implement AI models for clinical protocol authoring (OCR, NLP, LLM pipelines).

- Develop automation scripts for document ingestion, transformation, and Snowflake integration.

- Build configurable modules for mandatory vs optional protocol sections.

- Collaborate with testers to embed assurance checks and validation rules Validate AIgenerated protocol content for accuracy, completeness, and compliance.

- Design test cases for assurance checks (audit trails, timestamping, rolebased access).

- Perform functional, regression, and compliance testing of automation scripts.

- Execute automated test scripts (Python, PyTest, Selenium, Postman).

- Conduct Snowflake SQL validation for data accuracy and integrity.

- Support GxP qualification (test evidence, validation reports,



traceability matrices)

Skills & Experience:

- 4–5 years in AI/ML development (Python, TensorFlow, PyTorch, LangChain) and QA/testing with focus on AI/ML systems.

- Strong SQL and Snowflake expertise.

- Experience with NLP, document intelligence, and compliancedriven automation.

- Knowledge of GxP qualification processes (IQ/OQ/PQ).

- Robust skills in automation tools (PyTest, Selenium, Postman).

- Handson Snowflake knowledge for validation and query testing.

- Experience in Life Sciences domain testing and GxP compliance.

- Familiarity with FDA/EMA guidelines and audit documentation.

📌 AI Developer & Automation Tester – Document Intelligence (Hyderabad)
🏢 Virtusa
📍 Hyderabad