AI QA Automation Lead — Regulated HealthTech Platform

Eversana; Kansas; On-site; USD 90,000 - 130,000; Full time

Job summary

EVERSANA INTOUCH is a global marketing agency network for life sciences, driving AI-powered quality in a fully integrated platform. The AI Systems Quality Specialist will design and oversee QA for the AI Agency Platform, ensuring reliability and compliance across features, integrations, and AI processes.

The role collaborates with DevOps, Product, and AI teams to uphold quality benchmarks, with emphasis on automated testing, regulatory adherence, and scalable QA practices across cloud-based

Qualifications

• 7+ years of experience in QA automation or software testing, with 3+ years in a lead or senior role.
• Proficiency in Python, JavaScript, or .Net for test automation scripting.
• Experience with test automation frameworks such as PyTest, Selenium.

Responsibilities

• Design, implement, and maintain a comprehensive automation framework for functional, regression, and integration testing.
• Build automated test scripts for APIs, UI workflows, data pipelines, and AI agent interactions using PyTest or Selenium.
• Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions, or Cloud Build).
• Ensure test scripts cover core platform functionality and partner integrations (Veeva Vault, Vertex AI, Snowflake).
• Define and perform compliance and validation testing to ensure HIPAA, GDPR, SOC 2, and MLR workflow standards.

Skills

QA automation

Python

JavaScript

.Net

PyTest

Selenium

Postman

SQL

Snowflake

BigQuery

CI/CD

Google Cloud

Documentation

Tools

PyTest

Selenium

CI/CD tools

Jenkins

GitHub Actions

Cloud Build

Postman

Job description

EVERSANA INTOUCH is a global marketing agency network for life sciences, driving AI-powered quality in a fully integrated platform. The AI Systems Quality Specialist will design and oversee QA for the AI Agency Platform, ensuring reliability and compliance across features, integrations, and AI processes.

The role collaborates with DevOps, Product, and AI teams to uphold quality benchmarks, with emphasis on automated testing, regulatory adherence, and scalable QA practices across cloud-based