AI Architect / AI engineering lead

Jobgether SRL; España; A distancia; EUR 100.000 - 160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote contract

Lead AI architecture

Hands-on with LLM/RAG tech

International remote work

Descripción de la vacante

Jobgether SRL is seeking an AI Architect / AI Engineering Lead in a senior technical role based in Spain. You will shape enterprise AI architecture and lead the engineering of autonomous, multi-agent AI systems used to improve software development workflows.

The role blends architectural vision with hands-on engineering leadership, covering requirements, coding, testing, reviews, and CI/CD, while applying LLMs, RAG, and agentic AI frameworks to production-grade solutions.

Formación

• 10+ years in software engineering 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.

Responsabilidades

• 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.

Conocimientos

Java/J2EE & SpringBoot

React & TypeScript

LLMs & RAG

Agentic AI & multi-agent systems

LangGraph

LangChain

Claude & Claude Code

GitHub Copilot

Azure Cloud

CI/CD & DevOps

Architectural leadership

Healthcare domain knowledge

Herramientas

LangGraph

LangChain

Claude

Claude Code

GitHub Copilot

Descripción del empleo

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 Spain.

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.