Job Description & Details
This is a hands-on platform engineering role where you will be managing and scaling enterprise AI tools like OpenAI, Copilot, and Gemini rather than just writing experimental Python scripts. If you like dealing with the real-world grit of identity access management, API integrations, and security governance for generative AI, this gig is worth a serious look.
What You'll Actually Be Doing
Expect to spend your days knee-deep in platform administration, making sure our various AI ecosystems talk securely with the rest of the enterprise tech stack. You'll be designing custom APIs, configuring RAG pipelines, wiring up SSO and RBAC, and figuring out why a specific LLM integration is throwing authorization errors or latency spikes. It's a mix of DevOps rigor and cutting-edge AI plumbing where operational stability is your primary metric of success.
The Core Tech Stack
You need a solid foundation in cloud platform engineering combined with specific chops in the generative AI landscape. Mastery over REST APIs, IAM/RBAC controls, and Microsoft Entra ID is mandatory, alongside hands-on familiarity with OpenAI APIs, Azure AI, or Google Vertex. Scripting languages like Python or PowerShell will be your day-to-day tools for building automation workflows and monitoring service health.
Interview Expectations
When you talk to the engineering leads, expect them to test your operational resilience by asking how you would troubleshoot a complex auth failure or data leakage vector in a multi-tenant RAG architecture. They are secretly looking for someone who doesn't just know how to call an API, but understands the boring yet critical details of least-privilege access, audit logging, and keeping enterprise compliance happy.
Application Advice
Skip the generic cloud engineering boilerplate and make sure your resume explicitly calls out your experience with AI integrations, identity management, and API orchestration. If you've previously dealt with enterprise security hardening, cost monitoring, or setting up governance frameworks for generative AI tools, put those metrics right at the top to clear the automated filters effortlessly.