AI Architecture & Engineering

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