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AI Architect / AI engineering lead

Jobgether·Switzerlandsenior

In short

  • →Liderazgo técnico en arquitectura de sistemas AI autónomos y multi-agente para desarrollo de software.
  • →Día a día: diseñar, construir y operar IA en producción con LLM, RAG, LangGraph y herramientas como Claude Code y GitHub Copilot.
  • →Destacado: Especialización en aplicar IA al flujo de ingeniería de software, con enfoque en workflows reales en cloud y DevOps.

Fluency in English is required for collaboration with international teams.

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The questions they'll ask you

1. ¿Cómo has diseñado un sistema multi-agente basado en LLM para automatizar pruebas o revisiones de código en producción?

2. ¿Qué consideraciones técnicas aplicas al integrar RAG con LangGraph en un entorno de CI/CD?

3. ¿Cómo gestionas la confiabilidad y monitoreo de un agente de IA que interactúa con repositorios Git y pipelines de despliegue?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

  • ✓10+ años de experiencia en ingeniería de software o DevOps.
  • ✓Experiencia práctica en soluciones LLM o agentic AI en producción.
  • ✓Dominio de Java/J2EE y Spring Boot.
  • ✓Conocimiento sólido en arquitecturas de agentes múltiples y IA autónoma.
  • ✓Habilidades comprobadas con LangGraph, LangChain, RAG y LLM.
  • ✓Experiencia con Azure, CI/CD y DevOps reales.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

JavaJ2EESpring BootReactTypeScriptLangGraphLangChainClaudeClaude CodeGitHub Copilot

Who should you write to at Jobgether?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI Architect / AI Engineering Lead based in Switzerland. This is a senior technical leadership role focused on designing and building production-grade autonomous and multi-agent AI systems. You’ll shape enterprise AI architecture and lead the engineering of intelligent solutions that can support complex software development workflows. The role spans requirements analysis, coding, testing, code reviews, and CI/CD, bringing AI capabilities deeper into the engineering lifecycle. You’ll combine strong software engineering foundations with hands-on expertise in LLMs, RAG, and agentic AI architectures. Working across modern cloud and development technologies, you’ll help translate advanced AI capabilities into reliable production systems. The position requires both architectural vision and practical engineering leadership, with a strong focus on scalability, automation, and delivery. Experience in healthcare and claims adjudication is a valuable advantage for applying these capabilities to complex industry workflows. Accountabilities: Lead the architecture, design, and development of production-grade autonomous and multi-agent AI systems. Provide technical leadership across enterprise AI architecture, engineering practices, and solution delivery. Design and implement AI agents that support software development workflows, including requirements, coding, testing, code reviews, and CI/CD. Develop and integrate LLM- and RAG-based solutions using modern agentic AI frameworks and technologies. Apply LangGraph, LangChain, Claude, Claude Code, and GitHub Copilot to build effective AI-powered engineering workflows. Collaborate across software engineering, DevOps, and cloud environments to ensure AI solutions are scalable, reliable, and production-ready. Contribute to architecture decisions spanning backend services, frontend applications, cloud infrastructure, and automated delivery pipelines. Drive best practices for AI engineering, multi-agent orchestration, development automation, and continuous improvement. Requirements: 10+ years of experience in software engineering and/or DevOps. Hands-on experience designing and building production-grade LLM or agentic AI solutions. Strong Java/J2EE and Spring Boot development experience. Experience with React and TypeScript. Strong understanding of agentic AI and multi-agent AI systems. Practical expertise with LLMs and Retrieval-Augmented Generation (RAG). Experience with LangGraph and LangChain. Experience working with Claude and Claude Code. Familiarity with GitHub Copilot (GHCP) and AI-assisted software development. Strong Azure experience and understanding of cloud-based AI architectures. Solid CI/CD and DevOps experience. Strong architectural thinking, technical leadership, problem-solving, and communication skills. Healthcare and/or claims adjudication experience is preferred. Benefits: Fully remote contract position. Opportunity to lead the architecture of production-grade autonomous and multi-agent AI systems. Hands-on work with advanced LLM, RAG, and agentic AI technologies. Exposure to modern AI engineering tools including LangGraph, LangChain, Claude, Claude Code, and GitHub Copilot. Opportunity to combine enterprise architecture, software engineering, and AI leadership. Work focused on applying AI to real-world software development and automation workflows. International remote working environment. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

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