Artificial Intelligence Architect

Fruition Group Ireland; Dublin; On-site; EUR 110,000 - 150,000; Full time

Job summary

Fruition Group Ireland is seeking an experienced AI Architect to design, deliver and operate enterprise AI solutions. You will own production AI applications and shape new capabilities across the business, working with Generative AI, LLMs, RAG, Python and Azure technologies.

The role emphasizes technical leadership, hands-on development and delivering scalable AI architectures in an enterprise setting. Onsite during the probation period with opportunities to guide governance and best practices.

Qualifications

• Strong commercial experience in AI engineering, solution architecture or software engineering with a focus on Generative AI.
• Advanced Python development skills, including building, testing and maintaining production applications.
• Hands-on experience with LLMs, prompt engineering and Retrieval-Augmented Generation (RAG).
• Experience developing agentic AI solutions using LangChain, LangGraph or similar frameworks.
• Strong knowledge of Microsoft Azure AI technologies, particularly Azure OpenAI and Azure AI Search.
• Experience designing and implementing API-driven architectures and enterprise integrations.
• Understanding of vector search, embeddings, semantic retrieval and intelligent document processing.
• Experience deploying, monitoring and supporting AI applications in production.
• Knowledge of CI/CD, LLMOps, model evaluation and AI application security.
• Ability to work independently, solve complex technical problems and provide technical leadership.
• Azure AI Document Intelligence and Microsoft Graph integrations.
• Infrastructure as Code, particularly Bicep.
• Experience with Azure DevOps and automated deployment pipelines.
• Knowledge of AI guardrails, prompt-injection prevention and responsible AI.

Responsibilities

• Design, develop and deploy enterprise AI solutions using Generative AI, LLMs, RAG and agentic AI technologies.
• Take technical ownership of existing production AI applications, ensuring reliability, performance and scalability.
• Develop and enhance multi-agent AI workflows using Python, LangChain and LangGraph.
• Build intelligent document processing, information extraction and automated business workflows.
• Evaluate and optimise AI models for accuracy, performance, latency and cost.
• Establish best practices for AI engineering, model evaluation, monitoring and deployment.
• Integrate AI solutions with enterprise platforms, APIs and Microsoft technologies.
• Implement robust AI security, governance and responsible AI practices.
• Collaborate with engineering teams, business stakeholders and external technology partners to deliver scalable AI solutions.
• Contribute to technical architecture decisions, documentation and reusable engineering standards.

Skills

Generative AI

Python development

LLMs

LangChain

LangGraph

Azure AI

API architectures

Vector search

CI/CD

AI security

Tools

Azure OpenAI

Azure AI Search

Azure DevOps

Bicep

Job description

We are working with an established global organisation seeking an experienced AI Architect to play a key role in the design, development and delivery of enterprise AI solutions. This is an excellent opportunity for a technically strong AI professional who wants to combine hands‑on engineering with solution architecture and technical leadership.

You will take ownership of existing AI applications already operating in production while helping design and deliver new AI capabilities across the business. The role offers exposure to cutting‑edge technologies including Generative AI, Agentic AI, Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), Python and Microsoft Azure.

This is particularly well suited to someone who enjoys solving complex engineering challenges, improving existing systems and influencing how AI technologies are adopted at enterprise scale.

Please note this role will be fully onsite during the probation period.

Key Responsibilities

• Design, develop and deploy enterprise AI solutions using Generative AI, LLMs, RAG and agentic AI technologies.
• Take technical ownership of existing production AI applications, ensuring reliability, performance and scalability.
• Develop and enhance multi-agent AI workflows using Python, LangChain and LangGraph.
• Build intelligent document processing, information extraction and automated business workflows.
• Evaluate and optimise AI models for accuracy, performance, latency and cost.
• Establish best practices for AI engineering, model evaluation, monitoring and deployment.
• Integrate AI solutions with enterprise platforms, APIs and Microsoft technologies.
• Implement robust AI security, governance and responsible AI practices.
• Collaborate with engineering teams, business stakeholders and external technology partners to deliver scalable AI solutions.
• Contribute to technical architecture decisions, documentation and reusable engineering standards.

Required Skills & Experience

• Strong commercial experience in AI engineering, solution architecture or software engineering with a focus on Generative AI.
• Advanced Python development skills, including building, testing and maintaining production applications.
• Hands‑on experience with LLMs, prompt engineering and Retrieval‑Augmented Generation (RAG).
• Experience developing agentic AI solutions using LangChain, LangGraph or similar frameworks.
• Strong knowledge of Microsoft Azure AI technologies, particularly Azure OpenAI and Azure AI Search.
• Experience designing and implementing API‑driven architectures and enterprise integrations.
• Understanding of vector search, embeddings, semantic retrieval and intelligent document processing.
• Experience deploying, monitoring and supporting AI applications in production.
• Knowledge of CI/CD, LLMOps, model evaluation and AI application security.
• Ability to work independently, solve complex technical problems and provide technical leadership.
• Azure AI Document Intelligence and Microsoft Graph integrations.
• Infrastructure as Code, particularly Bicep.
• Experience with Azure DevOps and automated deployment pipelines.
• Knowledge of AI guardrails, prompt‑injection prevention and responsible AI.

Why Consider This Opportunity?

• Real‑world AI impact: Work on enterprise AI applications already in production rather than purely experimental projects.
• Technical ownership: Take responsibility for important AI platforms and influence their future development.
• Modern technology stack: Work extensively with Python, Azure OpenAI, LangGraph, RAG and agentic AI.
• Architecture and engineering: Combine strategic technical design with hands‑on development.
• Varied AI initiatives: Contribute to intelligent automation, document processing, AI agents and enterprise‑wide AI solutions.
• Technical influence: Help establish engineering standards, reusable architectures and best practices for AI delivery.