AI solution engineer

• Build and enhance solutions on One Ring, leveraging Microsoft Azure and modern AI technologies.
• Integrate enterprise platforms such as ServiceNow, Microsoft Intune, Darktrace and other IT, security and business systems.
• Design and develop APIs, connectors, data pipelines and backend services to connect different data sources and applications.
• Experiment with LLMs, RAG, agentic AI, vector search, Azure OpenAI and Azure AI Foundry, evaluating their practical applications.
• Leverage AI-assisted development tools and coding agents to accelerate engineering, experimentation and delivery.
• Take ownership of your solutions, including testing, troubleshooting, deployment, documentation and continuous improvement.
• Collaborate directly with business, IT, security and data teams to understand challenges, challenge assumptions and identify valuable AI use cases.
• Turn promising prototypes into secure, maintainable and scalable solutions that deliver measurable value.

We are looking for a curious, motivated and hands-on AI Solutions Engineer to help design, build and scale AI-powered solutions on One Ring, argenx’s Azure-based Data & AI platform. We’re looking for someone who loves building things, enjoys experimenting with emerging technologies and can turn ideas and complex business challenges into practical, working solutions. You don’t need to know everything already. What matters most is your ability to learn quickly, solve problems independently, take ownership and make things happen., + A genuine builder mindset: you enjoy coding, experimenting, troubleshooting and turning ideas into working software.

• Hands-on software development experience, preferably with Python, REST APIs, cloud services and Microsoft Azure.
• Strong problem-solving skills: you’re comfortable navigating ambiguity, breaking down complex challenges and finding practical solutions.
• Interest in modern AI technologies, including LLMs, RAG, embeddings, vector databases, AI agents and automation.
• Curiosity about AI-assisted engineering: you actively explore tools such as Claude Code, Cursor, GitHub Copilot or similar technologies.
• An understanding of software engineering fundamentals, including clean code, version control, testing, security and maintainability.
• An integration mindset: you enjoy connecting systems, working with APIs, understanding data flows and making different technologies work together.
• Ownership and initiative: you can work independently, learn what you don’t know and drive solutions forward without needing detailed instructions.
• Good communication and collaboration skills: you’re comfortable engaging with technical and non-technical stakeholders and translating their needs into solutions.

• A continuous learning mindset: you stay curious, experiment with new technologies and actively look for better ways of doing things. Nice to have

• Experience building AI-powered applications or agentic workflows using frameworks such as LangChain, LangGraph or similar.
• Experience with Azure AI services, cloud infrastructure, CI/CD pipelines, containers or modern application deployment.
• Familiarity with enterprise IT and security platforms, identity management or IT service management.
• Personal projects, prototypes, open-source contributions or professional implementations demonstrating your passion for building with AI. What matters most We’re not necessarily looking for a senior architect or someone who ticks every technical box. We’re looking for someone with the right combination of technical curiosity, engineering fundamentals, independence and a passion for building useful things with AI. If you’re the kind of person who discovers a new AI tool and immediately wants to try it, understand how it works, push its limits and build something valuable with it, we’d love to hear from you.

• Develop AI-powered features, intelligent agents, automations and integrations that solve real business problems.