Senior Staff AI Enablement Engineer
SoFi · WA - Seattle; CA - San Francisco
About this role
**Senior Staff AI Enablement Engineer** ## About the role SoFi is scaling how employees and AI agents safely reach the tools they need to do their jobs. You’ll own the strategy and day-to-day operation of a centralized **MCP (Model Context Protocol) gateway** that enables approved AI clients (e.g., Claude, Cursor, Windsurf, internal agents) to connect to enterprise systems such as **Slack, Google Workspace, Jira/Confluence, GitLab, Datadog, Snowflake, Glean, and ServiceNow**—with **SSO/OAuth brokering, policy enforcement, and full auditability**. ## What you’ll do - **Own the MCP gateway platform end to end**: catalog/registry of approved MCP servers, onboarding new connectors, OAuth scope configuration, tool-level enablement/disablement, and platform lifecycle/hygiene. - **Design the customer experience for AI tool access**: build intake, request, and provisioning flows (Compass/ServiceNow, Slack, Okta), documentation, and self-service paths to reduce time-to-access from weeks to hours. - **Partner with Product Security and IAM**: MCP approval, threat modeling, least-privilege scopes, and incident response—turning security requirements into operational guardrails. - **Run operations for the platform**: L1/L2 support models, runbooks, SLAs, monitoring/observability of tool usage, and vendor management (e.g., Cequence and connector vendors). - **Drive adoption and measure impact**: define/report adoption, usage, and value metrics by function; identify next high-leverage integrations. - **Automate access governance**: integrate with joiner/mover/leaver processes, access reviews, and audit evidence for SOX/regulatory needs. - **Set technical direction**: evaluate emerging standards (MCP, A2A, agent identity), decide build vs. buy, and shape the roadmap for internal and customer-facing AI interfaces. - **Mentor and influence**: guide IC1–IC4 engineers/analysts and influence function-level decisions with senior ICs and SLG. ## What you’ll need - **Bachelor’s + 12+ years** (or **Master’s + 10+**, **PhD + 7+**) in IT operations, enterprise systems, platform engineering, or identity. - Track record owning complex, companywide programs/platforms with planning, execution, and resourcing. - Hands-on experience with **LLM/agent tooling**: MCP servers/clients, API gateways, and AI coding assistants (e.g., Claude Code, Cursor, Copilot). - Deep knowledge of **identity & access**: SSO/SAML, OAuth 2.0/OIDC, SCIM, Okta, and least-privilege/RBAC design. - Strong integration/automation skills: **REST/GraphQL**, scripting (Python/TypeScript or similar), iPaaS (Workato or similar), and **ServiceNow** workflows. - Experience operating in a **regulated environment** (financial services preferred), including audit, data retention, and change management. - Ability to translate between security, engineering, and business stakeholders; influence without authority. ## Nice to have - Experience building/running an **AI gateway/API gateway/developer platform** (e.g., Cequence, Kong, Apigee). - Experience building **Slack bots/deflection bots/agentic workflows** for IT or employee support. - Familiarity with **AI governance frameworks** (NIST AI RMF) and LLM security risks (OWASP LLM Top 10, prompt injection, tool poisoning). ## Compensation & Benefits Base pay range is listed in the original posting; final offer depends on experience, skills, and location. For comprehensive benefits, see: https://sofietyinfo.sofi.com/sofi-benefits
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