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Nion is expanding its AI & Workflow Automation practice in Stockholm. The Forward Deployed Engineer will work inside client teams to turn AI concepts into measurable, secure operational solutions. You’ll scope processes, design AI-first workflows, and implement agents and integrations with a focus on delivering real business value.
The role requires 5+ years delivering automation/AI in real environments, strong stakeholder management, and fluency in Swedish and English. Some travel is possible.
Nion is an IT consultancy with offices in Stockholm, Malmö, Gothenburg, Skopje, Bitola and Sofia, where 200+ IT specialists work together to deliver tailored digital solutions. Our clients operate in industries such as telecom, fintech and insurance, and we help organisations simplify complex challenges and create real business value.
We're now expanding our AI & Workflow Automation practice and are looking for an experienced Forward Deployed Engineer (FDE) for our Stockholm office. A Forward Deployed Engineer works inside the client organisation — not at arm's length. You sit with their teams, learn how the business actually runs, and turn AI from a proof-of-concept into a trusted, working part of daily operations. This is the role at the centre of AI and workflow automation at Nion: the person who takes an ambition to "use AI" and produces something that delivers measurable value. The hardest part of AI isn't the demo — it's the gap between a clever prototype and a secure process people actually use every day. Closing that gap is what this role is about.
You'll own outcomes end-to-end: discovery and workflow mapping, solution design, hands-on implementation with AI tooling, and the change work that gets people using it. Throughout, you account for business value, AI sovereignty, AI spend, governance and compliance — GDPR and the EU AI Act built in, not bolted on.
This is not a deep software-engineering role. We're looking for someone who builds working solutions with AI tooling and integration — not someone writing large custom codebases from scratch. Comfort with light scripting (e.g. Python) to glue things together is expected, but the emphasis is on process, tooling and implementation.
We make AI work in the real world — that's Sustainable Acceleration, delivered by people, not slides.