Note: The job is a remote job and is open to candidates in USA. GeorgiaTEK Systems Inc. is seeking a Principal AI Engineer to serve as the founding engineer for its AI platform. The role will build and operate Azure AI environments, develop production AI applications and agentic workflows, establish engineering standards, and own evaluation, observability, CI/CD, and production operations.
Responsibilities
- 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
- 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
Skills
- 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
- 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
Company Overview