Engineer, AI, Senior

Come join our amazing team and work from home ! Responsible for defining, documenting, and governing the secure-by-default foundation on which the company's AI program operates.

This is a hands-on architecture role: designing the reference architecture for AI workloads on Microsoft Azure, establishing the AI governance and oversight model, documenting the systems already in production, and curating the reusable library of approved tools and Model Context Protocol (MCP) servers that the rest of the organization builds on.

Perform all duties in accordance with the company's policies and procedures, and all US state and federal laws and regulations, wherein the company operates. The target pay range for this position is $117,000 to $150,000 .

What you’ll do: Design and document the secure-by-default reference architecture for AI workloads on Microsoft Azure, including identity, network isolation, secrets management, data boundaries, monitoring, and audit.

Architect and operate production AI workloads on Azure AI Foundry, including model deployment, evaluation, and monitoring. Establish and operate an end-to-end AI governance framework — intake, risk classification, audit trail, and executive reporting — aligned to NIST AI RMF and ISO/IEC 42001.

Define the design and security standard for Model Context Protocol (MCP) servers — authentication, transport, tool surface, least-privilege exposure, and audit — and curate the approved tool library.

Design enterprise landing-zone and Well-Architected patterns for AI — subscription and management-group structure, policy guardrails, networking, and cost/quota strategy for Azure OpenAI and Foundry.

Implement identity and access architecture using Microsoft Entra ID, RBAC, managed identities, and conditional access, including on-behalf-of flows for agentic applications. Define retrieval and data architecture patterns — RAG, Azure AI Search, embeddings, chunking, and retrieval-quality evaluation.

Apply AI governance tooling — Micros