Hiring: Principal Architect, AI-Native Applications Company: WebMD Location: Newark, NJ Job Posted Time: 2026-09-16 19:05:16 Employment Type: Full-time Target Skills & Keywords : AWS, Azure, Event-Driven, GCP, HIPAA, LLM, Microservices About the job Experience: •7+ years of experience in software architecture, backend engineering, or data engineering, including senior or principal-level technical leadership. Required Skills: •Define and own the application architecture patterns, standards, and reference implementations that development teams build against across the organization. •Architect complex backend systems, including microservices architectures, APIs, streaming and event-driven protocols, and data engineering pipelines. •Design high-performance data platforms for AI workloads, including vector stores, graph databases, distributed caching, and semantic retrieval over million-record corpora. •Establish the patterns and guardrails for AI-native applications, including LLM integration, retrieval-augmented generation, multi-model orchestration, and agentic workflows. •Conduct architecture reviews and ensure solution designs meet scalability, performance, security, interoperability, and cost requirements across both cloud and on-premises environments. •Set standards for AI-ready APIs, data services, and application frameworks that enable rapid prototyping and production rollout of new capabilities. •Partner with engineering, product, data, and DevOps leaders to align technical direction with business outcomes and delivery timelines. •Ensure architectures meet the security, compliance, and privacy requirements of regulated healthcare environments, including HIPAA and the handling of protected health information (PHI). Qualifications: •Demonstrated experience architecting complex, distributed backend systems using microservices, APIs, and event-driven or streaming patterns. •Hands-on experience designing and operating data platforms for high-volume, high-dimensional workloads, including vector databases, graph databases, distributed caching, and semantic retrieval. •Practical experience building AI-native or AI-enabled applications, including LLM integration, retrieval-augmented generation, orchestration frameworks, and agentic systems. •Strong command of cloud architecture (AWS, Azure, or GCP) and experience operating across both cloud and on-premises environments. •Demonstrated capacity to remain hands-on in code while providing architecture-level leadership. •Solid functional working knowledge of the security, privacy, and compliance requirements of healthcare data environments, including HIPAA and PHI handling. •Excellent communication skills, with the ability to translate complex technical concepts for both engineering and business audiences. Compensation: •$150,000 - $200,000 / year •Health Insurance (medical, dental, and vision coverage) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!