xperience: 10+ years of experience designing and building web, workflow, service, and backend applications, including direct responsibility for architecture and software design for one or more teams.
: Significant experience in application and solution architecture, including API design, service decomposition, integration patterns, and user-facing or workflow-oriented applications.
Core Technologies: Hands-on experience with modern languages and frameworks such as Java, Golang, Spring, or comparable technologies, and strong experience building rich, responsive APIs and service-based systems.
Cloud & Distributed Systems: Deep familiarity with microservices, cloud-native architecture, cloud platforms, distributed applications, streaming patterns, and enterprise integration approaches.
AI-Native Engineering: Experience applying AI-assisted development, agent-based workflows, and reusable AI skills to improve design, coding, testing, and delivery outcomes. Familiarity with agents, copilots, code generation, automated testing, and intelligent orchestration of development workflows, with strong judgment to ensure correctness, security, and maintainability.
Software Delivery Practices: Strong experience across the SDLC, including Agile delivery, CI/CD, DevOps practices, APM, observability, and engineering approaches that improve quality, speed, and operational resilience.
Architectural Judgment: Ability to translate business needs into architecture requirements and evaluate trade-offs across cost, scalability, reliability, security, maintainability, and delivery speed.
The AI-Native Technical Architect II provides advanced architectural leadership within an assigned business area, aligning solution development with broader architecture direction while remaining closely connected to implementation. This role translates business and product intent in alignment with architectural direction into clear, implementable specifications that orchestrate AI agents and engineering workflows to produce delivery-ready solutions across applications, services, APIs, data flows, and platform components.
As a senior technical leader, the AI-Native Technical Architect II drives architecture for their business area, establishes and applies technical standards within their scope, and guides traditional teams and AI-native pods through design trade-offs involving cost, scalability, security, reliability, and maintainability. The role is expected to balance strategic thinking with hands-on technical depth, applying strong systems thinking to ensure architecture decisions consider end-to-end flows, dependencies, and long-term platform evolution while being effectively realized in code and operational outcomes.
This role operates within a complex, regulated healthcare domain and is expected to either bring deep domain expertise or quickly develop a strong understanding of healthcare data, workflows, and compliance considerations, ensuring that architecture decisions are grounded in real-world business and regulatory constraints.
