Technical Architect II - AI-Native

Overview 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.

In the AI-native model, the Technical Architect II treats AI as both a solution capability and an engineering accelerator.

This includes designing software that incorporates AI-enabled features where appropriate and advancing AI-assisted and agent-based development practices, including code generation, automated testing, intelligent engineering workflows, and reusable AI skills.

The Technical Architect II plays a key role in helping teams apply AI effectively and responsibly, ensuring outputs are correct, secure, maintainable, and aligned to architectural intent through clear human accountability and guardrails.

The role partners with senior architects, enterprise architecture, and shared AI and Data teams when broader alignment is needed, while owning architectural execution and ensuring teams utilize modern AI-native approaches efficiently and correctly within the assigned business area.

Responsibilities Business Area Architecture & Solution Design : Define and drive architecture for the assigned business area, translating business strategy, product priorities, and architecture runway into implementable solutions, technical designs, and delivery-ready features.

AI-Native Solution Architecture : Design systems that incorporate AI-enabled capabilities where they create clear business value, and establish guardrails for safe, effective use of AI within applications and workflows.

AI-Assisted Engineering Enablement : Advance AI-assisted development practices across the team, including use of copilots, code generation, automated testing, intelligent engineering workflows, agents, and reusable AI skills, while maintaining strong standards for correctness, security, and maintainability with clear human accountability.

Technical Leadership & Governance : Establish and reinforce architecture standards, patterns, and design guardrails within the assigned business area.

Guide design reviews and major technical decisions across APIs, services, data flows, and platform components.