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Visium SA logo

AI Operations Lead

Visium SA
Posted Jun 11, 2026, 10:51 PM UTC
🇨🇭Switzerland🏢Hybrid📁Data & Analytics
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Visium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems that reinvent how businesses operate - unlocking the value of AI at scale. We're not a strategy firm that ships slide decks and walks away. Not a tech consultancy that builds what won't get adopted. Not a product company chasing problems it doesn't understand. We're all three at once: strategy, deep technical and integration expertise, and product, working as one. That combination is our flywheel. Consulting keeps us close to the hardest real-world problems. Products let us solve them at scale. Every engagement sharpens our products; every deployment makes the next engagement faster, deeper, and more certain. We're obsessed with outcomes. While 95% of enterprise AI pilots never reach production, Visium is built to be the 5% delivering productised AI that compounds in value, not point solutions that deliver marginal gains. We are AI-native, not AI-adjacent. We don't bolt AI onto broken workflows; we redesign them with AI at the core. Role As our AI Operations Lead, you own how Visium works with AI internally. You help shape the strategy and turn it into a running operation: the tooling everyone relies on, the enablement that makes them proficient, the automations that remove busywork, and the measurement that proves it is working. This is an internal role, not a client delivery one. Your client is Visium. You will design and build agentic workflows that improve how our own teams operate, roll out and govern our AI tool stack, train people to actually use it, and stand up the operating loops that keep it healthy over time. Responsibilities Implement and take part in shaping Visium’s internal AI strategy with leadership, then own it end to end: from direction to a running, measurable operation. Design, build and deploy agentic workflows and automations that improve how teams across Visium operate. Drive adoption and enablement: build shared resources and reference setups, and design a continuous learning loop that keeps everyone sharp. Communicate policies and ways of working clearly, and make people actually want to follow them. Measure impact: track adoption and productivity signals, report ROI to leadership, and decide what to keep, kill or change based on the data. Make pragmatic build-versus-buy decisions, favouring simple, managed solutions over over-engineering.

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