AI Solutions Architect – End-to-End Azure & GenAI

Limestone Digital; Rotterdam; Hybrid; EUR 90,000 - 135,000; Full time

Job summary

Limestone Digital is seeking a proactive AI Solution Architect to design end-to-end AI-powered solutions in a Dutch asset management context. You will own architecture, drive prototyping, and ensure scalable integration with enterprise platforms on Azure.

Ideal candidates bring hands-on Azure experience, expertise in AI agent frameworks, and a track record of delivering production-grade, secure AI solutions within dynamic R&D environments.

Qualifications

• Design end-to-end enterprise solutions with integrations, APIs, and data flows.
• Hands-on Azure: Functions, App Services, Storage, Key Vault, Entra ID, networking.
• Build LL-powered apps, AI agents, tool calling, RAG, and multi-step workflows.
• Experience with producer-ready software using Python, C#, or TypeScript.
• Connect enterprise systems via REST APIs, MCP, webhooks, and automation.
• Turn ambiguous business needs into working prototypes quickly.

Responsibilities

• Design end-to-end AI-powered solutions and define clear architectures.
• Develop prototypes, AI agents, and production-ready automations.
• Improve AI workflows with reusable agent skills and SDLC standards.
• Deploy and optimize Azure infrastructure for scalable AI apps.
• Prototype rapidly and validate ideas with stakeholders.
• Integrate AI solutions with internal systems and databases.
• Lead technical decisions and coordinate across teams to deliver.

Skills

Solution Architecture

Azure Cloud

Generative AI

AI Development Tools

Software Engineering (Python/C#/TS)

Integration & Automation

Rapid Prototyping

Security & Governance

Technical Ownership

Communication

Tools

Cursor

GitHub Copilot

Claude Code

Job description

Limestone Digital is seeking a proactive AI Solution Architect to design end-to-end AI-powered solutions in a Dutch asset management context. You will own architecture, drive prototyping, and ensure scalable integration with enterprise platforms on Azure.

Ideal candidates bring hands-on Azure experience, expertise in AI agent frameworks, and a track record of delivering production-grade, secure AI solutions within dynamic R&D environments.