AI Architecture & Engineering — AI Transformation/ Principal AI Engineer

AI Architecture & Engineering — AI Transformation/ Principal AI Engineer – Remote

Duration:12+ Months 

Rate – DOE

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 be the founding engineer, building and operating the AI platform and the first production applications on it — end to end, from infrastructure and orchestration through evaluation and monitoring. The engineering standards you set — repository structure, testing, deployment patterns — become the foundation every future hire builds on. This is a principal-scope role with a genuinely hands-on charter: you ship code every week and own it in production.

What you'll do

• Build and operate the governed enterprise MCP gateway and Azure AI environments

• Implement SAP identity passthrough in partnership with the IT/SAP organization

• Own CI/CD for AI assets, plus the evaluation and observability harness with cost and usage telemetry instrumented from day one

•  Ship the first production AI use case, then the prioritized portfolio: retrieval, grounding, and agentic workflows, released behind evaluation gates

•  Co-build alongside an enterprise integration partner during the initial platform build, internalizing patterns so the capability stays in-house

•  Define the function's engineering standards, tooling, and practices, and serve as technical lead as the team grows

Your first 90 days

•  Have the gateway carrying production traffic for the first use case in a Hexion-owned Azure environment

•  See evaluation scores and telemetry flowing from day-one instrumentation

•  Publish the engineering standards the team will build on

Required qualifications

•10+ years of software engineering; strong Python and/or TypeScript

•Deep Azure expertise: infrastructure-as-code (Bicep or Terraform), networking, identity, container platforms, Azure AI services

•Production LLM or agentic systems you personally built and ran end to end — data flows, orchestration, deployment, evaluation, incident response — be prepared to walk through the most recent one

•Evaluation engineering: you design and build eval suites — datasets, metrics, regression tests wired into CI — and hold them as release gates, not demos

• Ownership of CI/CD pipelines (GitHub Actions, Azure DevOps, or equivalent)

•  Identity-aware API and integration design

•  Sound judgment partnering with vendors while keeping core capability in-house

•  AI-augmented development as your default — we work with Claude and Microsoft Copilot, and expect them in your daily build loop

Preferred qualifications

•  Model Context Protocol (MCP) implementation experience

•  SAP or other enterprise ERP integration exposure

•  Experience with enterprise integration/automation (iPaaS) platforms

•  Prior technical-lead or mentoring experience

•  Regulated or industrial-sector environments