Principal Enterprise Architect, AI Quality Engineering

BrightSpring Health Services

Job Description

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

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Vacancy posted 8 days ago

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