Technical Architect II - AI-Native

The AI-Native Technical Architect II provides advanced architectural leadership within an assigned business area, focusing on solution development, AI integration, and engineering workflows in a complex healthcare domain.

Location: Remote

Salary: $160,000–$185,000/yr

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• Collaborate with product, engineering, platform, security, data, and other partner teams to align architectural decisions with broader technical direction and business outcomes.
• 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.
• 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.
• Complete all special projects and other duties as assigned.

Requirements

• Master’s degree in Computer Science, Information Technology, Engineering, or related field, or equivalent practical 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.
• Significant experience in application and solution architecture, including API design, service decomposition, integration patterns, and user-facing or workflow-oriented applications.
• 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.
• Deep familiarity with microservices, cloud-native architecture, cloud platforms, distributed applications, streaming patterns, and enterprise integration approaches.
• Experience applying AI-assisted development, agent-based workflows, and reusable AI skills to improve design, coding, testing, and delivery outcomes.
• Strong experience across the SDLC, including Agile delivery, CI/CD, DevOps practices, APM, observability, and engineering approaches that improve quality, speed, and operational resilience.
• Ability to translate business needs into architecture requirements and evaluate trade-offs across cost, scalability, reliability, security, maintainability, and delivery speed.
• 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.
• Ability to clearly articulate advanced technical topics to technical and non-technical audiences and collaborate effectively across teams, stakeholders, vendors, and partners.
• Strong hands-on technical depth with the ability to review implementation details, solve complex technical problems, and remain credible with developers working across modern application and platform stacks.