AI Solutions Architect

Excerpt from the original posting

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.

- 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…

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