Senior Security Engineer - Enterprise AI

About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. Help keep Faire's AI adoption moving fast, safely: The Enterprise Security team at Faire owns the tools and policies that keep our people, data, and systems protected. The team's scope includes endpoint detection, data loss prevention, email security, corporate threat detection, compliance training, and AI governance. As our Senior Security Engineer focusing on Enterprise AI, you will own the AI platforms Faire runs on and build the technical guardrails that let AI adoption keep accelerating without new exposure. You will have a real voice in how we scale AI safely here, [... source excerpt omitted ...] and repeatable assessments other teams can actually use. You want to give engineering teams paved roads and reusable guardrails for agentic workflows, not one-off reviews. What you'll do: Own administration of Faire's AI platforms, including Anthropic, OpenAI, Portkey, Fireworks, and more, evaluating and enabling features as they launch. Partner with orgs across the business to control model availability, manage spend, and own MCPs, agentic identity, and audit logging. Centralize our MCP standards and infrastructure. You'll set the standards for what we launch internally and build or support our most in-demand custom MCPs. Build the technical guardrails for safe AI use, [... source excerpt omitted ...] dership. Strong communication and collaboration skills across technical and non-technical audiences, with a track record of becoming a trusted partner to teams outside your own. You'll stand out if you have: Understanding of LLM internals, including transformer architectures, tokenization, context window management, RAG patterns, prompt engineering techniques, and the security risks inherent to each (e.g., prompt injection, data leakage through context, output manipulation). Prior experience in an AI governance, AI enablement, or AI platform role. Familiarity with security and compliance considerations specific to AI tooling, such as data residency, DLP policies for AI-gen