Talentgigs
Website:
talentgigs.in
Company:
https://www.linkedin.com/company/talentgigs
Seniority: Associate
Industries: Staffing and Recruiting
Job details:
Head – Quality Engineering & AI Quality
Role Overview
We are seeking an experienced Head of Quality Engineering & AI Quality to define and execute our long-term quality vision as we evolve from traditional software testing to AI-powered, autonomous Quality Engineering.
This leader will build a next-generation quality organization that leverages automation, AI agents, predictive quality analytics, intelligent test generation, and continuous quality monitoring to deliver world-class healthcare technology.
The role will partner closely with Engineering, Product, Architecture, Data Science, DevOps, and Security teams to embed quality into every stage of product development while enabling faster, safer, and more reliable releases.
Key Responsibilities
Strategic Leadership
Define and execute the organization's Quality Engineering strategy aligned with the company's Vision 2030.
Build a roadmap for transitioning from manual and script-based testing to AI-assisted and Agentic AI Quality Engineering.
Establish Quality Engineering as a strategic business capability rather than a testing function.
Create a culture of continuous quality improvement across the organization.
AI & Intelligent Quality Engineering
Build AI-driven testing capabilities using Generative AI and intelligent automation.
Introduce Agentic AI workflows for autonomous test creation, maintenance, execution, and defect analysis.
Leverage AI to perform:
Test case generation
Test optimization
Defect prediction
Root cause analysis
Intelligent regression selection
Risk-based testing
Evaluate and implement AI-powered QA platforms and tools.
Drive predictive quality analytics using engineering and production data.
Automation Excellence
Define an automation-first strategy with measurable automation coverage goals.
Establish scalable frameworks for:
UI Automation
API Automation
Database Testing
Performance Testing
Security Testing
Mobile Testing (future roadmap)
Ensure automation becomes an integral part of every CI/CD pipeline.
Engineering Excellence
Embed quality across the SDLC through Shift-Left and Shift-Right practices.
Implement quality gates within Azure DevOps and deployment pipelines.
Establish engineering quality metrics including:
Escaped Defects
Change Failure Rate
MTTR
Automation Coverage
Test Stability
Release Readiness Index
Production Defect Density
Build Quality Observability dashboards for leadership.
Healthcare Quality & Compliance
Ensure compliance with healthcare regulations and interoperability standards including:
HIPAA
HL7
FHIR
CMS quality requirements
Drive validation of clinical workflows, interoperability, security, privacy, and audit readiness.
Leadership
Build and mentor a high-performing Quality Engineering organization.
Upskill the QA team in AI-assisted testing, automation engineering, and modern quality practices.
Foster a culture of innovation, experimentation, and continuous learning.
Collaborate closely with Product, Engineering, DevOps, Architecture, and Customer Success teams.
Operational Excellence
Lead production incident reviews and systemic root cause analysis.
Improve release predictability and deployment confidence.
Optimize testing cost through intelligent automation.
Own QA budgets, tooling strategy, vendor relationships, and technology investments.
Preferred Technology Experience
Test Automation
Selenium
Cypress
Playwright
API Testing
Postman
REST Assured
Performance Testing
JMeter
K6
CI/CD
Azure DevOps
GitHub Actions
Jenkins
Programming
Python
Java
JavaScript/TypeScript
AI & Intelligent Automation
Experience with one or more of the following would be highly desirable:
GitHub Copilot
OpenAI / Azure OpenAI
LangChain
AI-powered testing platforms
Agentic AI frameworks
LLM-assisted software engineering workflows
Prompt Engineering
AI-driven test generation and autonomous testing
Cloud
Microsoft Azure (Preferred)
Kubernetes
Docker
Data
SQL Server
Database Testing
Data Validation
ETL Testing
Healthcare
HL7
FHIR
HIPAA
Population Health platforms
Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related discipline.
15+ years of progressive experience in Software Quality Engineering.
Proven experience leading enterprise QA organizations.
Demonstrated success building automation-first engineering teams.
Experience driving DevOps, CI/CD, and Engineering Excellence initiatives.
Exposure to AI-enabled software development and quality engineering practices is highly desirable.
Experience in Healthcare Technology, SaaS, HealthTech, or regulated industries preferred.
What We're Looking For
We are looking for a leader who thinks beyond testing and sees Quality Engineering as a strategic competitive advantage.
The ideal candidate will:
Think strategically while remaining execution-focused.
Champion AI-first Quality Engineering.
Build autonomous, data-driven quality systems.
Challenge traditional testing approaches.
Inspire engineering teams to "build quality in" rather than "test quality later."
Drive innovation, experimentation, and continuous modernization.
Be passionate about leveraging AI to improve engineering productivity and product reliability.
Success in the First 24 Months
The successful candidate will be expected to:
Deliver >90% automated regression coverage across strategic products.
Introduce AI-assisted testing into the engineering lifecycle.
Implement intelligent quality dashboards and predictive quality metrics.
Reduce production defects through proactive quality engineering.
Establish autonomous testing capabilities using AI agents where appropriate.
Build a scalable Quality Engineering Centre of Excellence that supports The Garage India's Vision 2030.
Click on Apply to know more.