AI Architect / AI engineering lead

Team: IT

Location: Ireland

Commitment: Full-time

Workplace Type: remote

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.