Founding AI Platform Engineer

• Bu ild and operate AI environments including the governed enterprise MCP gateway and Azure AI foundation.
• Implement SAP identity passthrough in partnership with IT/SAP teams.
• Own CI/CD pipelines for AI assets, with evaluation and observability harness instrumented from day one.
• Ship production AI use cases including retrieval, grounding, and agentic workflows released behind evaluation gates.
• Co-build with integration partners during initial platform build, internalizing patterns for long-term capability.
• Define engineering standards, tooling, and practices, serving as technical lead as the team grows.
• First 90 Days
• Deliver the MCP gateway carrying production traffic for the first use case in a company-owned Azure environment.
• Establish evaluation scores and telemetry flowing from day-one instrumentation.
• Publish engineering standards for repository structure, testing, and deployment.

• 10+ years of software engineering experience.
• Strong coding fluency in Python and/or TypeScript.
• Hands-on experience building and operating production LLM/agentic systems end-to-end (data flows, orchestration, deployment, evaluation, incident response).
• Expertise in evaluation engineering: designing eval suites, datasets, metrics, regression tests wired into CI/CD.
• Ownership of CI/CD pipelines (GitHub Actions, Azure DevOps, or equivalent).
• Identity-aware API and integration design.
• Sound judgment in vendor partnerships while keeping core capability in-house.
• Daily use of AI assistants (Claude, Microsoft Copilot) in development workflows.

Preferred Qualifications

• Experience implementing Model Context Protocol (MCP).
• Exposure to SAP ERP integration or other enterprise ERP systems.
• Experience with enterprise integration/automation (iPaaS) platforms.
• Prior technical-lead or mentoring experience.