AI Solutions Architect

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.

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 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.