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

Hvantage; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Hvantage Tech Solutions Pvt. Ltd. seeks an AI-Driven QA / Testing Lead for healthcare applications.

Remote/onsite India with immediate joiners preferred. You will champion AI-assisted testing, lead QA delivery in SAFe environments, and oversee testing across provider portals, clinical apps, and care coordination platforms. The ideal candidate has 7+ years in QA, 3+ years in US healthcare, strong leadership, and hands-on experience with AI testing tools and automation frameworks such as Selenium,

Qualifications

• Minimum 7+ years of QA experience.
• Minimum 3+ years in US healthcare QA.
• Experience leading testing initiatives.
• Hands-on AI-assisted testing preferred.
• Deep healthcare domain knowledge (providers, claims, care management).

Responsibilities

• Lead AI-driven quality engineering and automation.
• Oversee testing across provider portals and clinical apps.
• Develop AI testing strategy and governance.
• Collaborate with product and DevOps in SAFe environments.

Skills

QA Leadership

Healthcare QA

AI-Assisted Testing

Test Automation

Agile SAFe

FHIR/HL7 Knowledge

Tools

Selenium

Cypress

Playwright

Rest Assured

Karate

Tricentis

AI Testing Platforms

Postman

Job description

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.

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

Lead testing of:

• REST APIs
• GraphQL APIs
• FHIR APIs
• Healthcare interoperability services

Leverage AI tools to:

• Generate API test cases
• Validate response patterns
• Detect anomalies

Tools:

• Postman
• Swagger
• ReadyAPI
• Karate

7. Healthcare Compliance & Regulatory Validation

Ensure applications comply with:

• HIPAA
• CMS Guidelines
• NCQA Requirements
• FHIR Standards
• HL7 Standards

Validate:

• PHI protection
• Data security controls
• Audit logging
• Access controls

8. Agile & SAFe Agile Leadership

Actively participate in:

• PI Planning
• Sprint Planning
• Daily Standups
• Retrospectives
• Release Planning

Work closely with:

• Product Owners
• Business Analysts
• Architects
• Developers
• DevOps Teams

Must have hands‑on experience working in SAFe Agile environments.

9. AI Testing Strategy & Governance

Develop enterprise AI testing frameworks for:

• AI Applications
• Chatbots
• Virtual Assistants
• Generative AI Platforms
• Clinical AI Systems

Validate:

• Hallucination rates
• Response consistency
• Prompt reliability
• Model performance
• Bias detection

Establish AI Quality Gates and AI Testing Governance standards.

10. Test Data Management & Data Engineering Validation

Perform:

• SQL validation
• Data reconciliation
• ETL testing
• Data warehouse testing

Experience validating data platforms, including:

• Azure Data Factory
• Azure Synapse
• Snowflake
• Databricks

is highly desirable.

Required Qualifications

Experience

• Minimum 7+ years of QA experience
• Minimum 3+ years in Healthcare QA
• Experience leading testing initiatives
• Experience in AI-assisted testing preferred

Healthcare Domain Expertise

Strong experience with:

• Health Plans
• Provider Systems
• Care Management
• Clinical Applications
• Member Services

Knowledge of:

• Claims Processing
• Utilization Management
• Prior Authorization
• Provider Data Management

AI Testing Skills (Preferred)

Hands-on experience using:

• ChatGPT
• Claude
• Copilot
• Cursor
• AI Testing Platforms

Understanding of:

• LLM Testing
• Prompt Validation
• AI Quality Assurance
• GenAI Application Testing

Automation Skills

Experience with:

• Selenium
• Cypress
• Playwright
• Postman
• Rest Assured

Technical Skills

• SQL
• API Testing
• Database Validation
• Azure DevOps
• JIRA
• TestRail
• Zephyr

Healthcare Standards

Knowledge of:

• FHIR
• HL7
• EDI 834
• EDI 837

Leadership Competencies

• Team Leadership
• QA Strategy
• Stakeholder Management
• AI Adoption Leadership
• Mentoring & Coaching

Soft Skills

• Exceptional communication skills
• Strong analytical thinking
• Problem-solving mindset
• Ability to communicate with business and technical stakeholders
• Strong documentation and presentation skills

Preferred Qualifications

• Healthcare certifications
• AI Testing certifications
• SAFe Agile certification
• ISTQB certification
• Exposure to AI-powered healthcare solutions

What Success Looks Like in This Role

• Reduced testing effort through AI-assisted automation
• Faster release cycles with improved quality
• Higher automation coverage
• Better defect prediction and prevention
• Strong healthcare compliance adherence
• AI-powered quality engineering maturity across teams