AI Architect / AI engineering lead

Jobgether SRL; Deutschland; On-site; EUR 140,000 - 190,000; Full time

Benefits offered by this job

Remote contract

Job summary

United States Digital Space LLC in Germany is seeking an AI Architect / AI Engineering Lead to design and build production-grade autonomous, multi-agent AI systems. You will shape enterprise AI architecture and lead engineering across requirements, coding, testing, and CI/CD.

This senior role blends software engineering with hands-on LLM/RAG expertise, working with LangGraph, LangChain, Claude, and GitHub Copilot to deliver scalable AI-powered workflows in Azure environments.

Qualifications

• 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.

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

Architectural thinking

Technical leadership

Problem-solving

Communication

Java/J2EE

Spring Boot

React

TypeScript

CI/CD

Azure

Cloud experience

DevOps

Tools

LangGraph

LangChain

Claude

Claude Code

GitHub Copilot

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 Germany.

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.