About the team
AI Transformation organization is building the company's enterprise AI capability on a vendor-agnostic, capability-based reference architecture: a governed enterprise MCP gateway, an Azure AI foundation, and a portfolio of production AI use cases anchored to business outcomes. You'll join the AI Architecture & Engineering team as one of its three founding members, shaping how a global enterprise adopts AI from the ground up.
The role
You'll own solution architecture AI portfolio, turning an established capability-based architecture into designs that ship. Every AI build, integration, and vendor proof-of-concept passes through your designs. This is a hands-on seat: you'll write code to test your own designs and stay close to what ships.
What you'll do
Own solution design for AI builds and vendor proofs-of-concept: integration topology, identity and authorization flows (including SAP identity passthrough via Microsoft Entra ID), data flows, and security review
Prototype and validate your designs in code reference implementations and spikes and partner with engineering through build
Own the capability occupancy map: assess proposed tools and builds against capability slots to inform investment decisions
Architect the Azure AI foundation and the governed MCP gateway: landing zone, network and identity patterns, private connectivity, and a multi-tier model portfolio with attention to data retention and residency
Lead the technical side of vendor and model evaluations: fit assessments and recommendations
Build a reusable solution-pattern library so each successive use case is cheaper to design than the last
Your first 90 days
Deliver the solution design for the first production use case, prototype included, and see it through build
Stand up the capability occupancy map
Take a vendor evaluation end-to-end, from technical assessment through recommendation
Required qualifications
10+ years in software or solution architecture, including 5+ years in enterprise integration within large organizations
Current, working code fluency (Python or TypeScript): enough to build prototypes yourself and review pull requests critically
Deep identity and access expertise: Microsoft Entra ID, OAuth 2.0/OIDC, service principals, and identity passthrough or delegated-authorization patterns across system boundaries
SAP landscape integration experience: interface patterns, middleware, authorization concepts
Hands-on design of production LLM systems: retrieval architectures, agentic workflows, tool-use protocols (Model Context Protocol or equivalent), model routing
Azure depth: landing zones, hub-and-spoke networking, private endpoints, Azure AI services
Experience leading security and compliance reviews for regulated enterprise data
A shipping record: systems you designed that ran in production, and the ability to walk through what broke and what you changed
Writing that lands with both executives and engineers: architecture decision records and decision memos
AI assistants in your daily workflow we work with Claude and Microsoft Copilot, and expect you to design and document with them, not around them
Preferred qualifications
Manufacturing, chemicals, or other regulated/industrial-sector experience
Capability-based or domain-driven enterprise architecture practice
Architecture experience with enterprise integration/automation (iPaaS) platforms
Microsoft Certified: Azure Solutions Architect Expert or equivalent
Experience operating alongside consulting- or SI-led transformation programs
