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# REMOTE - AI-Native Technical Architect

- **Company:** Octans Group Llc
- **Location:** Salt Lake City, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Automation of Tests, Cloud Engineering, Code Generation, Continuous Integration, DevOps, Distributed Systems, Spring Framework, Software Architecture, Systems Development Life Cycle, Software Engineering, Data Streaming, Systems Integration, Spring Cloud, Information Technology, Golang, Microservices
- **Published:** September 18, 2026
- **Apply:** https://www.dice.com/job-detail/14f83b86-f0c0-4a6f-ac2c-c159c8ff3af0

## About the Role

We are seeking a Technical AI-Native Architect to lead architecture and solution design for AI-driven, cloud-native applications in a regulated healthcare environment. This is a senior hands-on architecture role focused on AI-enabled software, modern engineering practices, and scalable distributed systems., * 6+ years of software architecture and application design experience.

 * Strong expertise in Java, Golang, Spring, or similar modern technologies.
 * Experience with microservices, cloud-native architecture, distributed systems, and enterprise integrations.
 * Hands-on experience with AI-assisted development, agent-based workflows, and intelligent engineering automation.
 * Strong background in Agile, CI/CD, DevOps, observability, and SDLC best practices.
 * Ability to translate business requirements into scalable technical solutions.

Preferred:

 * Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
 * Experience working within healthcare or other highly regulated industries.
 * Proven leadership and mentoring experience across cross-functional engineering teams.

## Description

* Design AI-native application and solution architectures across APIs, services, data flows, and cloud platforms.
 * Drive technical standards, architecture governance, and design reviews.
 * Enable AI-assisted engineering using copilots, AI agents, code generation, and automated testing.
 * Guide engineering teams on scalability, security, reliability, and maintainability.
 * Collaborate with product, engineering, platform, security, and data teams.
 * Mentor developers and architects while promoting AI-native delivery practices.


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