Senior Staff AI Enablement Engineer
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, with SSO/OAuth brokering, policy enforcement, and auditability. The Senior Staff AI Enablement Engineer owns the strategy and day-to-day operation of this platform, along with the employee-facing interfaces used to obtain AI tool access. The role turns a security-approved control plane into a fast, self-service route to AI productivity, working closely with Product Security, IAM, Engineering, and business leaders. It also sets technical direction for agent and tool-access standards, develops platform operations and governance, drives adoption, and mentors engineers and analysts.
Requirements
- Bachelor's degree and 12+ years of related experience, or a Master's degree and 10+ years, or a PhD and 7+ years, in IT operations, enterprise systems, platform engineering, or identity.
- Track record of owning complex, companywide programs or platforms and independently handling 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, least-privilege design, and RBAC.
- Strong integration and automation skills, including REST/GraphQL APIs, scripting in Python, TypeScript, or similar, iPaaS such as Workato or similar, and ServiceNow workflows.
- Experience operating in a regulated environment, including audit, data retention, and change management; financial services experience is preferred.
- Ability to translate between security, engineering, and business stakeholders and influence without authority.
Nice To Haves
- Experience building or running 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 OWASP LLM Top 10, prompt injection, and tool poisoning.
Responsibilities
- Own the MCP gateway platform end to end, including the approved MCP server catalog and registry, connector onboarding, OAuth scope configuration, tool enablement and disablement, and lifecycle hygiene.
- Design and build employee-facing AI tool access intake, request, and provisioning flows using systems such as Compass/ServiceNow, Slack, and Okta; develop documentation and self-service paths to reduce access time.
- Partner with Product Security and IAM on MCP approvals, 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, 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 such as MCP, A2A, and agent identity; assessing build-versus-buy choices; and shaping the roadmap for internal and customer-facing AI interfaces.
- Mentor IC1–IC4 engineers and analysts, and influence function-level decisions with senior individual contributors and SLG.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
