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 an AI Solutions Architect, you will design and deliver end-to-end AI solutions on top of the client's AI platform. You will bridge business needs and technical implementation, ensuring AI use cases are scalable, secure, and production-ready. Working in close partnership with the Data Platform Architect, you will define solution architectures, guide implementation, and drive AI best practices across the organization.
Your responsibilities will include:
- Design and deliver end-to-end AI solutions, from proof of concept to production. - Architect AI use cases, including GenAI, RAG, AI agents, and classical ML solutions. - Collaborate with business and technical stakeholders to translate requirements into scalable solution designs. - Partner closely with the Data Platform Architect to leverage and evolve the underlying AI platform. - Define and promote AI architecture standards, best practices, and governance. - Guide engineering teams throughout implementation, ensuring quality, scalability, security, and compliance. - Evaluate emerging AI technologies and frameworks to continuously improve solution design. - Mentor engineers and provide technical leadership across AI initiatives.
Requirements
- 8+ years of experience in AI Solution Architecture, Machine Learning, Data, or Cloud Engineering roles. - Proven experience designing and delivering production-grade AI solutions (e.g., GenAI, RAG, AI agents, ML) on Azure. - Deep expertise in Azure AI services, Azure ML, Databricks, Synapse, and related cloud technologies. - Strong knowledge of AI/ML pipelines, MLOps, LLMOps, evaluation frameworks, and data governance. - Solid understanding of cloud infrastructure, networking, identity, security, monitoring, and deployment. - Experience defining AI architecture best practices and guiding solutions from PoC to production. - Excellent stakeholder management, communication, and technical leadership skills. - Experience mentoring engineering teams and influencing technical strategy.
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.
