H
AI Architecture & Engineering - AI Transformation/ Principal AI Engineer
Hallmark Global Solutions Ltd
3 hours ago
Full-time
On-site
East New York, New York, United States
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
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