AI-Driven QA / Testing Lead (US Healthcare Domain)

Job Title - AI-Driven QA / Testing Lead Healthcare Applications (US Healthcare Domain)

Location: Remote / Onsite India

Employment Type: Full-Time / Contract

Experience Required: 7+ Years Overall QA Experience (Minimum 3+ Years in US Healthcare Domain)

Notice Period : Immediate Joiners Preferred

About Hvantage Tech Solutions Pvt Ltd.

Hvantage Tech Solutions Pvt. Ltd. is a global technology consulting and digital transformation organization specializing in Healthcare IT, Artificial Intelligence, Data Analytics, Enterprise Software Development, Cloud Solutions, and Digital Engineering.

As healthcare organizations increasingly adopt AI-powered platforms, digital member engagement solutions, intelligent care management systems, and advanced healthcare analytics, we are seeking an experienced AI-Driven QA / Testing Lead who can leverage both traditional QA methodologies and modern AI-powered testing approaches to ensure exceptional software quality and accelerated release cycles.

This role combines:

Healthcare Domain Expertise

AI-Powered Quality Engineering

Intelligent Test Automation

Agile Delivery Leadership

Healthcare Compliance Validation

AI-Assisted Testing Strategies

Position Overview

We are seeking a highly skilled AI-Driven QA / Testing Lead with strong experience in testing healthcare payer and provider applications.

The ideal candidate should possess:

Deep Healthcare Testing Experience

AI-Assisted Testing Expertise

Intelligent Test Automation Skills

Strong Agile / SAFe Agile Experience

Healthcare Interoperability Knowledge (FHIR/HL7)

Leadership Experience in QA Delivery

This role will lead testing efforts across complex healthcare applications, including:

Provider Portals

Clinical Applications

Care Coordination Platforms

Member Service Systems

Digital Engagement Platforms

Healthcare Data Platforms

AI-Powered Healthcare Solutions

Key Responsibilities

1. AI-Powered Quality Engineering Leadership

Lead the adoption of AI-driven quality engineering practices, including:

AI-assisted test case generation

Intelligent test automation

Self-healing test frameworks

AI-based defect prediction

Automated risk analysis

AI-generated regression testing

AI-assisted exploratory testing

Leverage tools such as

GitHub Copilot

Microsoft Copilot

ChatGPT

Claude

Cursor

Testim

Mabl

Functionize

Tricentis AI

Applitools to improve QA productivity and software quality.

2. Healthcare Application Testing

Lead testing initiatives across healthcare applications including:

Provider Platforms

Provider onboarding

Credentialing systems

Provider directories

Provider search functionality

Clinical Applications

Care management systems

Care coordination platforms

Utilization Management Systems

Disease Management programs

Clinical workflow applications

Member Engagement Systems

Member portals

Eligibility verification systems

Benefits management

Digital engagement platforms

3. AI-Assisted Test Design & Automation

Design and implement

AI-generated test scenarios

Intelligent regression suites

Automated smoke testing

Risk-based testing models

Use AI tools to

Generate test scripts

Generate test data

Create edge-case scenarios

Perform impact analysis

Develop frameworks using

Selenium

Cypress

Playwright

Rest Assured

Karate

Tricentis

AI-powered testing platforms

4. AI-Driven Defect Analysis

Implement AI-enabled approaches for:

Defect clustering

Root cause analysis

Failure prediction

Test impact analysis

Utilize AI tools to

Predict release risks

Prioritize defects

Identify recurring patterns

5. Healthcare Data Validation & Interoperability Testing

Validate healthcare data integrations involving:

Standards

HL7

FHIR

X12

EDI 834

EDI 837

Systems

Claims Processing Systems

Care Management Systems

Provider Data Systems

Member Data Platforms

Perform

API Testing

Data Mapping Validation

End-to-End Workflow Testing

6. AI-Based API & Integration Testing