Senior Staff AI Enablement Engineer

SoFi • San Francisco, CA

3d

About The Position

SoFi is scaling how employees and AI agents safely access the tools they need. The company operates a centralized Model Context Protocol (MCP) gateway that connects approved AI clients—including Claude, Cursor, Windsurf, and internal agents—to enterprise systems such as Slack, Google Workspace, Jira/Confluence, GitLab, Datadog, Snowflake, Glean, and ServiceNow. The gateway provides SSO/OAuth brokering, policy enforcement, and auditability.

The Senior Staff AI Enablement Engineer owns the strategy and day-to-day operation of the platform and the employee-facing interfaces for requesting AI tool access. The role turns a security-approved control plane into a fast, self-service path to AI productivity across the company, partnering closely with Product Security, IAM, Engineering, and business leaders.

Requirements

• Bachelor’s degree and at least 4 years of experience, or a master’s degree and at least 3 years of experience, in software engineering or a related field.
• Track record of owning complex, companywide programs or platforms and independently handling their planning, execution, and resourcing.
• Hands-on experience with LLM and agent tooling, including MCP servers and clients, API gateways, and AI coding assistants such as Claude Code, Cursor, or Copilot.
• 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 in Python, TypeScript, or similar, iPaaS such as Workato, and ServiceNow workflows.
• Experience operating in a regulated environment, preferably financial services, including audit, data retention, and change management.
• Ability to translate between security, engineering, and business stakeholders and influence without authority.

Nice To Haves

• Experience building or operating an AI gateway, API gateway, or developer platform, such as Cequence, Kong, or Apigee.
• Experience building Slack bots, deflection bots, or agentic workflows for IT or employee support.
• Familiarity with AI governance frameworks such as NIST AI RMF and LLM security risks such as the OWASP LLM Top 10, prompt injection, and tool poisoning.

Responsibilities

• Own the MCP gateway platform end to end, including the catalog and registry of approved MCP servers, connector onboarding, OAuth scope configuration, tool enablement and disablement, and platform lifecycle and hygiene.
• Design and build employee-facing intake, request, provisioning, documentation, and self-service experiences for AI tool access using systems such as Compass/ServiceNow, Slack, and Okta.
• Partner with Product Security and IAM on MCP approval, threat modeling, least-privilege scopes, and incident response, translating security requirements into operational guardrails.
• Operate the platform, including L1/L2 support models, runbooks, SLAs, monitoring and observability of tool usage, and vendor management.
• Drive adoption and measure impact by defining and reporting adoption, usage, and value metrics by function to IT and SLG leadership, and identifying high-leverage integrations.
• Automate access governance by integrating the gateway with joiner/mover/leaver processes, access reviews, and audit evidence for SOX and regulatory requirements.
• Set technical direction by evaluating agent and tool-access standards, build-versus-buy options, and the roadmap for internal and customer-facing AI interfaces.
• Guide IC1–IC4 engineers and analysts and influence function-level decisions with senior individual contributors and SLG.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior