AI Systems QA Lead — Automation & Compliance

Eversana; Overland Park (KS); On-site; USD 90,000 - 131,000; Full time

Job summary

EVERSANA INTOUCH is seeking an AI Systems Quality Specialist to design, build, and oversee the QA framework for the AI Agency Platform. This role ensures features, integrations, and AI-driven processes operate reliably and compliantly across Google Cloud, Veeva, SFMC, and Aprimo.

The ideal candidate will lead automated testing within CI/CD pipelines, collaborate with DevOps, Product, and AI teams, and drive quality benchmarks while maintaining audit-ready documentation and dashboards.

Qualifications

• 7+ years of experience in QA automation or software testing, with 3+ years in a lead or senior role.
• Experience with test automation frameworks such as PyTest, Selenium.
• Strong understanding of API testing (Postman) and data validation (SQL, Snowflake, BigQuery).
• Proven experience testing integrated SaaS systems in cloud environments (preferably Google Cloud).
• Familiarity with CI/CD and continuous testing practices.
• Excellent documentation, reporting, and stakeholder communication skills.

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 tools such as PyTest or Selenium.
• Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions, or Cloud Build) to support continuous delivery.
• Ensure test scripts cover both core platform functionality and partner integrations (Veeva Vault, Vertex AI, Snowflake).
• Standardize QA practices for cross-team use and document testing methodologies.

Skills

QA automation

Leadership

CI/CD

API testing

PyTest

Selenium

SQL

Cloud

Tools

Jira

GitHub Actions

Cloud Build

Postman

Snowflake

BigQuery

Job description

EVERSANA INTOUCH is seeking an AI Systems Quality Specialist to design, build, and oversee the QA framework for the AI Agency Platform. This role ensures features, integrations, and AI-driven processes operate reliably and compliantly across Google Cloud, Veeva, SFMC, and Aprimo.

The ideal candidate will lead automated testing within CI/CD pipelines, collaborate with DevOps, Product, and AI teams, and drive quality benchmarks while maintaining audit-ready documentation and dashboards.