About the role
As Solution Architect you own the technical design of the enterprise AI platform. You turn our target architecture into a buildable plan, make the key design decisions, and make sure every workflow team builds on the same shared foundation rather than reinventing it.
What you'll do
- Own the end-to-end architecture of the enterprise AI platform on Azure: AI gateway and model routing, generative AI and machine learning services, agent orchestration, memory and retrieval, data integration, guardrails, security, evaluation and observability.
- Define the minimum platform needed to start building the first workflows, then lay out the roadmap for later capabilities such as a semantic layer, centralized orchestration and an evaluation framework.
- Set the standards every workflow team follows: how AI solutions and agents are onboarded, how autonomy and human review are set per workflow, how tenancy and data isolation work, and how models and agents are evaluated.
- Design integrations with our core fund administration systems, Snowflake data platform, MCP servers, document stores and third-party APIs.
- Partner with security, compliance and risk teams so the platform meets our regulatory, data-protection and audit requirements from day one.
- Review designs from the AI Development pods and make build-versus-buy and vendor recommendations.
- Work alongside external partners during the initial build and make sure knowledge transfers to the Ultimus team.
