AI Architecture & Engineering

GeorgiaTEK Systems Inc.; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

GeorgiaTEK Systems Inc. is seeking a founding engineer to build and operate an enterprise AI platform. You will ship production AI use cases end-to-end, from infrastructure to monitoring, establishing engineering standards and leading a growing team.

You will own CI/CD for AI assets, work with Azure AI environments, and collaborate with SAP/IT partners to keep core capability in-house. A truly hands-on, principal-scope role awaits.

Qualifications

• 10+ years of software engineering experience and strong Python and/or TypeScript
• Hands-on experience with production LLM or agentic systems, with end-to-end data flows and monitoring
• Proven ability to design and operate CI/CD pipelines and release gates
• Experience in identity-aware API and integration design
• Familiarity with Claude and Microsoft Copilot in daily development loops

Responsibilities

• Build and operate the governed enterprise MCP gateway and Azure AI environments
• Own CI/CD for AI assets and the evaluation/observability harness from day one
• Ship production AI use cases and manage a portfolio of retrieval, grounding, and agentic workflows
• Define engineering standards, tooling, and practices; lead as the team grows

Skills

Python

TypeScript

LLM/Agentic systems

Evaluation engineering

CI/CD pipelines

GitHub Actions

Azure DevOps

Identity-aware design

Cloud integration

Tools

GitHub Actions

Azure DevOps

CI/CD tooling

Job description

Duration:12+ Months

Rate – DOE

US Citizen, Green Card, GC EAD, and H4 EAD only; no third-party agencies, Corp-to-Corp.

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
• 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

• 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