Senior AI Solution Architect - Enterprise Automation & n8n

Team.It; Lisboa; On-site; EUR 70,000 - 100,000; Full time

Job summary

Team.It is seeking an experienced AI Engineer to design and architect end-to-end AI solutions in Lisbon. You will integrate AI services, platforms, and enterprise systems to automate business processes, focusing on scalability and governance.

You will collaborate with business and technical stakeholders, translating requirements into architecture while ensuring security, performance, and reliability across AI workflows. Fluent English is required.

Qualifications

• 5+ years of experience delivering enterprise technology solutions.
• Hands-on with n8n workflow automation and integration platforms.
• Strong knowledge of Azure AI Foundry and Azure AI services.
• Experience with REST APIs, webhooks, event-driven architectures, and system integration.
• Experience with Large Language Models (LLMs), prompt engineering, and AI agent architectures.
• Cloud-native architecture principles and distributed systems.

Responsibilities

• Design and architect end-to-end AI solutions focusing on scalability, integration and business value.
• Collaborate with business and technical stakeholders to translate requirements into architecture and design specifications.
• Ensure governance, security, performance and reliability across AI and automation platforms.
• Document solution architectures, integration patterns and best practices for AI adoption.

Skills

Enterprise solution design

English communication

Stakeholder collaboration

Cloud-native architectures

Tools

n8n workflow automation

Azure AI Foundry

Azure AI services

REST APIs

Webhooks

Docker

Kubernetes

Job description

Team.It is seeking an experienced AI Engineer to design and architect end-to-end AI solutions in Lisbon. You will integrate AI services, platforms, and enterprise systems to automate business processes, focusing on scalability and governance.

You will collaborate with business and technical stakeholders, translating requirements into architecture while ensuring security, performance, and reliability across AI workflows. Fluent English is required.