Platform Solutions Architect

Reposted 4 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
Define and drive architecture for end-to-end AI and data platforms on Azure. Establish standards, governance, and scalable cloud-native AI solutions; evaluate emerging AI technologies; translate business needs into technical designs; mentor engineering and data teams; ensure platform performance, security, and compliance.
Summary Generated by Built In

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

A Platform Solutions Architect building a data platform is responsible for defining and driving the end-to-end architecture, technical strategy, and scalability of the platform to enable reliable data and AI use cases across the organization.

You act as a technical leader and advisor across AI, data, and cloud initiatives.

Your responsibilities will include:

  • Design the target architecture for the data platform (data ingestion, storage, processing, governance, orchestration, access).
  • Translate business and product requirements into scalable technical solutions.
  • Define platform standards, cloud architecture, security, and operating models.
  • Lead decisions on technology selection, integration patterns, and platform evolution.
  • Ensure the platform is reliable, cost-efficient, secure, and maintainable.
  • Partner with engineering teams and stakeholders to guide implementation and accelerate adoption.

Requirements

To succeed in this role, you bring a combination of expertise, experience, and skills including:

  • 8+ years of experience in Data Platform Engineering, Cloud Architecture, or a similar role, with experience building scalable data platforms.
  • Proven experience designing cloud-native data platforms based on client and business requirements.
  • Deep expertise in Azure, including Azure Databricks, Azure ML, Cognitive Services, and related data services.
  • Partner closely with the AI Solutions Architect to design and deliver AI/ML solutions as a strategic technical counterpart.
  • Hands-on experience with Terraform and Infrastructure as Code (IaC).
  • Experience building CI/CD pipelines for infrastructure and application deployment.
  • Strong understanding of cloud networking and security, including IAM, encryption, and governance.
  • Ability to influence senior stakeholders and communicate technical strategy effectively.
  • Strong collaboration and mentoring skills with cross-functional engineering teams.

Benefits

What we offer

  • A competitive compensation package
  • A yearly education budget to steep your learning curve
  • A yearly sport budget because a fit body leads to a fit mind
  • A flexible working culture because your work-life balance matters to us
  • A position that enables you to have an impact on 1’000s of people, and the whole company's growth.
  • An international, knowledgeable, and passionate team with a strong collaborative mindset

Check our LinkedIn and website to learn more about us & don’t hesitate to contact us if you have any questions.

Skills Required

  • 8+ years of experience in AI, data, or cloud architecture roles
  • Deep expertise in Azure AI and data services (e.g., Azure ML, Synapse, Databricks, Cognitive Services)
  • Strong experience designing scalable, cloud-native AI solutions
  • Solid understanding of AI/ML pipelines, MLOps, and data governance
  • Proven ability to influence and align senior stakeholders on technical strategy
  • Excellent communication skills and experience mentoring teams
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The Company
HQ: Lausanne
74 Employees
Year Founded: 2018

What We Do

Visium is a leading Swiss AI & Data consultancy helping enterprises unlock the full business value of AI. We combine deep technical expertise with a strong consulting foundation to design and deliver strategic, scalable, and compliant AI solutions. We've delivered over 150 AI solutions for some of the world’s leading enterprise, helping them drive efficiency, unlock new revenue streams, and scale solutions that deliver long-term value. From strategy to deployment, our mission remains the same – to build AI that drives measurable, responsible impact at scale. We believe in using AI as a force for good. Through our Visium4Good initiative, we support NGOs and social impact projects on a pro bono basis, using AI to drive positive change where it’s needed most.

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