Overview
We are seeking a highly experienced Principal Enterprise QA Architect to define and lead the quality strategy for our AI Health Cloud platform. This is a senior leadership role responsible for architecting enterprise-wide quality engineering, test automation, and validation frameworks across AI/ML platforms, healthcare data pipelines, and cloud-native applications.
You will operate at the intersection of platform architecture, AI/ML systems, and healthcare compliance, ensuring that all solutions—from APIs and microservices to LLM-powered workflows—are highly reliable, secure, explainable, and production-ready.
This role extends beyond traditional QA into Quality Engineering, AI validation, and continuous verification at scale.
Responsibilities
- Define and lead end-to-end quality architecture across platform, data, AI/ML, and applications
- Establish enterprise QA standards, frameworks, and governance models
- Design validation strategies for LLMs, RAG pipelines, vector databases, and agent systems
- Architect testing strategies for microservices, APIs, and distributed systems
- Lead development of enterprise automation frameworks
- Ensure compliance with HIPAA, CMS, NCQA and security standards
- Collaborate with architects, product, and engineering teams
- Implement observability-driven quality and continuous improvement
Qualifications
- 15+ years in QA, Quality Engineering, or Test Architecture
- Strong experience in cloud-native systems and automation frameworks
- Experience with AI/ML validation and testing
- Deep knowledge of healthcare data and interoperability standards
- Expertise in DevOps, CI/CD, and MLOps
- Strong leadership and stakeholder management
Preferred Qualifications
- Experience with LLM validation and Responsible AI
- Familiarity with RAG, vector databases, and agent frameworks
- Experience in healthcare quality programs (HEDIS, Stars)
- Advanced degree in relevant field
Additional Job Information
Success Metrics
- Platform reliability and defect reduction
- Improved AI model trust and performance
- Increased automation coverage and faster releases
- Strong regulatory compliance
Why Join Us
- Lead the future of AI quality in healthcare
- Work with top-tier engineers, clinicians, and AI teams
- Solve complex AI safety and compliance challenges
- Competitive compensation and flexible work environment
