AI Architect / AI engineering lead

Jobgether SRL; France; Remote; EUR 120,000 - 160,000; Full time

Benefits offered by this job

Fully remote contract

AI architecture leadership

Hands-on with AI tools

LangGraph & LangChain

International remote

Job summary

Jobgether seeks an AI Architect / AI Engineering Lead based in France to shape enterprise AI architecture and lead production-grade autonomous AI systems. You will oversee requirements, coding, testing, and CI/CD while building scalable, reliable AI workflows.

Role requires hands-on experience with LLMs, RAG, LangGraph, LangChain, Claude, and Azure, plus strong Java/Spring and React/TypeScript skills. Remote, international collaboration, and healthcare-adjudication exposure are considered assets.

Qualifications

• 10+ years of software engineering/DevOps experience.
• Hands-on in production-grade LLM or agentic AI solutions.
• Strong Java/J2EE and Spring Boot development experience.
• Experience with React and TypeScript.
• Solid understanding of agentic and multi-agent AI systems.
• Experience with LLMs and Retrieval-Augmented Generation (RAG).
• Experience with LangGraph and LangChain.
• Experience with Claude and Claude Code.
• Familiarity with GitHub Copilot and AI-assisted development.
• Strong Azure cloud experience; CI/CD and DevOps.
• Strong architectural thinking and leadership; communication.
• Healthcare/claims adjudication experience preferred.

Responsibilities

• 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.

Skills

10+ yrs exp

Java/J2EE

Spring Boot

React

TypeScript

Architectural leadership

Communication

Tools

LangGraph

LangChain

Claude

Claude Code

GitHub Copilot

Azure

CI/CD

DevOps

Job description

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 France.

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.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.