Technical Architect - AI-Native

Codetech•Manteca, CA

23h

About The Position

The AI-Native Technical Architect II provides advanced architectural leadership for an assigned business area, aligning solution development with broader architecture direction while staying closely connected to implementation. The role translates business and product intent into clear, implementable specifications and delivery-ready solutions across applications, services, APIs, data flows, and platform components. The Technical Architect II drives architecture for the assigned area, establishes technical standards and guardrails, and guides traditional teams and AI-native pods through design trade-offs involving cost, scalability, security, reliability, maintainability, and delivery speed. The role balances strategic thinking with hands-on technical depth and considers end-to-end flows, dependencies, and long-term platform evolution. Working in a complex, regulated healthcare domain, the role requires deep domain expertise or the ability to quickly develop a strong understanding of healthcare data, workflows, and compliance considerations. It treats AI as both a solution capability and an engineering accelerator: designing AI-enabled software where appropriate and advancing AI-assisted and agent-based development practices. The architect helps teams use AI effectively and responsibly, with human accountability and safeguards to ensure outputs are correct, secure, maintainable, and aligned with architectural intent. The role partners with senior architects, enterprise architecture, and shared AI and Data teams when broader alignment is needed, while owning architectural execution within the assigned business area. It also mentors developers and architects, evaluates technologies, supports delivery and implementation, and completes assigned performance goals, special projects, and other duties. Duties may be performed with or without reasonable accommodation. The description is not exhaustive and may change as business and job requirements change.

Requirements

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a 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.
Familiarity with agents, copilots, code generation, automated testing, and intelligent orchestration of development workflows, with sound judgment to ensure correctness, security, and maintainability.
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 explain advanced technical topics clearly to technical and non-technical audiences and collaborate effectively across teams, stakeholders, vendors, and partners.
Strong hands-on technical depth, including the ability to review implementation details, solve complex technical problems, and remain credible with developers working across modern application and platform stacks.
Excellent communication and stakeholder management abilities.
Ability to translate regulatory and 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 mentorship capabilities, including taking initiative, leading without authority when required, mentoring others, and representing interoperability expertise internally and externally.
Ability to provide a dedicated, secure work area and high-speed internet access/connectivity, including office setup and maintenance.
Ability to perform duties with or without reasonable accommodation.

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 provide clear business value, and establish guardrails for safe and effective AI use in applications and workflows.
Advance AI-assisted development practices, including copilots, code generation, automated testing, intelligent engineering workflows, agents, and reusable AI skills, while maintaining standards for correctness, security, and maintainability and ensuring 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 with developers and technical leads to ensure architecture is realized effectively in code.
Identify risks, resolve architectural issues, and guide trade-offs involving cost, scalability, reliability, security, and delivery speed.
Collaborate with product, engineering, platform, security, data, and other partner teams to align architecture 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, strengthening architecture discipline, technical judgment, and confidence with modern engineering and AI-assisted development practices.
Complete responsibilities outlined in the annual performance review and/or goal setting.
Complete special projects and other duties as assigned.