Enterprise AI Architect Position

American IT Systems • Columbus, OH

1d • Hybrid

About The Position

Client's AI Transformation organization is building the company's enterprise AI capability on a vendor-agnostic, capability-based reference architecture. This includes 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.

Requirements

• 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 designed that ran in production, and the ability to walk through what broke and what was changed.
• Writing that lands with both executives and engineers: architecture decision records and decision memos.
• AI assistants in daily workflow — working with Claude and Microsoft Copilot, and expecting to design and document with them, not around them.

Nice To Haves

• 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.

Responsibilities

• 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 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed