AI Platform Architect
Role summary by JobGrid
AI Platform Architect at Visium SA: Lausanne, Switzerland; Hybrid; Full time; IT; Solutions / Architecture. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Lausanne, Switzerland, Hybrid
- Role classification: IT, Solutions / Architecture, Full time
- Source freshness: checked by JobGrid on 2026-05-30.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Title: Solution Architect (AI Platform)
Type: Full-time
Location: Barcelona or Lausanne
Start date: April 2026
About us
At Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof.
With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data.
We’re on a mission to pioneer a bright future and build future-proof and ethical organizations . Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we’re all in awe of – our Visiumees.
Ready to become one?
Role
As a Principal AI Platform Solution Architect, you will define and drive the architecture of AI and data platforms on Azure. You bridge business strategy and technical execution, enabling scalable, secure, and innovative AI solutions.
You act as a technical leader and advisor across AI, data, and cloud initiatives.
Your responsibilities will include:
- Lead the design and implementation of end-to-end AI and data platforms on Azure
- Define architecture standards, best practices, and governance for AI solutions
- Evaluate emerging AI technologies and integrate them into the platform strategy
- Collaborate with stakeholders to translate business requirements into technical solutions
- Provide mentorship and guidance to engineering and data teams
- Ensure performance, scalability, security, and compliance of AI platforms