Senior Staff AI Enablement Engineer

SoFi · Seattle, WA · The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. SoFi is scaling how employees and AI agents safely reach the tools they need to do their jobs. As our Sr. Staff AI Enablement Engineer, you'll own the strategy and day-to-day operation of our Model Context Protocol (MCP) gateway that lets approved AI clients connect to enterprise systems. Responsibilities: Own the MCP gateway platform end to end, covering the catalog and registry of approved MCP servers, onboarding of new connectors, OAuth scope configuration, tool-level enablement and disablement, and lifecycle and hygiene. Design the customer experience for AI tool access, building intake, request, and provisioning flows, documentation, and self-service paths. Partner with Product Security and IAM on MCP approval, threat modeling, least-privilege scopes, and incident response. Run operations for the platform, including L1/L2 support models, runbooks, SLAs, monitoring and observability of tool usage, and vendor management. Drive adoption and measure impact, defining and reporting adoption, usage, and value metrics. Automate access governance, integrating the gateway with joiner/mover/leaver processes, access reviews, and audit evidence. Set technical direction, evaluating emerging agent and tool-access standards and building vs. buying. Mentor and influence, guiding IC1–IC4 engineers and analysts. Requirements: Bachelor’s Degree + 4+ Years of Experience OR Master’s Degree + 3+ Years of Experience in software engineering or a related field. Track record of owning complex, companywide programs or platforms. Hands-on experience with LLM and agent tooling, MCP servers and clients, API gateways, and AI coding assistants. Deep knowledge of identity and access, including SSO/SAML, OAuth 2.0/OIDC, SCIM, Okta, and least-privilege and RBAC design. Strong integration and automation skills, including REST/GraphQL APIs, scripting, iPaaS, and ServiceNow workflows. Experience operating in a regulated environment, including audit, data retention, and change management. Ability to translate between security, engineering, and business stakeholders. Nice to have: Experience building or running an AI gateway, API gateway, or developer platform. Experience building Slack bots, deflection bots, or agentic workflows for IT or employee support. Familiarity with AI governance frameworks and LLM security risks. Compensation and Benefits: The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.