Technical Architect II - AI-Native

Technical Architect II - AI-Native Job Locations US-Remote ID 2026-18262 Category Engineering/IT Position Type Full-Time 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. Implementation Oversight & Problem Solving: Partner closely with developers and technical leads to ensure architecture is effectively realized in code.

Proactively identify risks, resolve architectural issues, and guide trade-offs across cost, scalability, reliability, security, and delivery speed.

Cross-Functional Collaboration: Collaborate with product, engineering, platform, security, data, and other partner teams to align architectural decisions with broader technical direction and business outcomes.

Technology Evaluation & Continuous Improvement: Evaluate emerging technologies, tools, and platforms for applicability to roadmap and delivery needs.

Improve engineering effectiveness through modern architecture patterns, automation, observability, and AI-native delivery practices. Mentorship & Team Enablement: Mentor developers and other architects within the assigned organization, strengthening architecture discipline, technical judgment, and confidence with modern engineering and AI-assisted development practices.

Complete all responsibilities as outlined in the annual performance review and/or goal setting. Required Complete all special projects and other duties as assigned.

Required Must be able to perform duties with or without reasonable accommodation. This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required.

Qualifications Education: Master’s degree in Computer Science, Information Technology, Engineering, or related field, or equivalent practical experience.

Experience: 6+ 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.

Solution & Application Architecture: 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.

Technical Leadership: Proven ability to lead architecture and software design across a team or business area, build consensus, mentor engineers, and drive sound technical decisions in a collaborative environment.

Communication & Collaboration: Ability to clearly articulate advanced technical topics to technical and non-technical audiences and collaborate effectively across teams, stakeholders, vendors, and partners.

Hands-On Depth: Strong hands-on technical depth with the ability to review implementation details, solve complex technical problems, and remain cred ible with developers working across modern application and platform stacks.

Cognitive / Mental

Requirements: Excellent communication and stakeholder management abilities. Able to translate regulatory/clinical requirements into technical solutions and explain technical concepts to non-technical audiences.

Strong problem-solving mindset and a track record of driving initiatives from concept to implementation. Leadership and