Healthcare QA Architect-AI

Title: Healthcare QA Architect-AI

Location: Irvine, CA (Remote)

Duration: Long term

Role Summary

The Healthcare QE Architect - AI will define and lead the quality engineering strategy for healthcare platforms, with a strong emphasis on AI-enabled test automation, GenAI-assisted validation, and scalable quality practices. This role partners with engineering, product, data, and compliance teams to improve release confidence, reduce defect leakage, and accelerate delivery across regulated healthcare systems.

Key Responsibilities

• Owns the overall AI infused QE delivery plan: scope, roadmap, cadence, and governance for the engagement.
• Acts as the main onshore point of contact with the Client's leadership and product teams.
• Brings healthcare domain expertise to ensure tests cover clinical workflows and compliance needs (e.g., HIPAA)
• Identifies test data management strategy including test data automation.
• Defines, baseline and track success metrics with Client.
• Sets quality goals, coverage targets, and entry/exit criteria across all functional and non-functional testing services.
• Guides offshore team on priorities, risks, and continuous improvement (including AI-powered tools).
• Manage weekly status + risk reviews; manage dependencies, escalations, and stakeholder communication.
• Owns quality review of AI-assisted outputs (test designs, automation changes).
• Design and own the QE architecture for healthcare applications, including automation frameworks, test strategy, and quality gates across the SDLC.
• Lead AI-driven testing initiatives such as test case generation, self-healing automation, intelligent defect triage, and root cause analysis.
• Build and integrate GenAI solutions into QA workflows using tools such as LLM APIs, agent frameworks, and CI/CD pipelines.
• Define quality controls for healthcare data, workflows, and integrations, with attention to privacy, security, auditability, and compliance.
• Collaborate with product, engineering, DevOps, and business stakeholders to establish measurable quality metrics and release readiness standards.
• Evaluate and standardize automation tools, observability practices, and AI accelerators to improve testing efficiency and maintainability.

Required Qualifications

• 10+ years of experience in quality engineering, test automation, or QA architecture.
• Strong background in healthcare technology, payer, provider, pharmacy, or life sciences environments.
• Hands-on experience with automation frameworks, API testing, UI testing, and CI/CD integration.
• Proven experience applying AI or GenAI in testing, quality analytics, or engineering workflows.
• Working knowledge of Python, Java, JavaScript, or similar languages used for automation and AI integration.
• Understanding healthcare compliance, security, data privacy, and regulated SDLC practices.
• Strong communication skills and the ability to influence technical and non-technical stakeholders.

Preferred Qualifications

• Experience with LLMs, prompt engineering, AI agents, and AI copilots for engineering productivity.
• Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform and deployment patterns for AI services.
• Experience with healthcare interoperability standards and data validation in complex enterprise ecosystems.
• Exposure to observability, analytics, defect prediction, and synthetic test data generation.
• Certifications in test automation, cloud, or AI/ML.