Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
About the role
SoFi is scaling how employees and AI agents safely reach the tools they need to do their jobs. We run a centralized MCP (Model Context Protocol) gateway that lets approved AI clients (Claude, Cursor, Windsurf, internal agents) 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.
As our Sr. Staff AI Enablement Engineer, you'll own the strategy and day-to-day operation of this platform and the customer-facing interfaces employees use to get AI tool access. You'll turn a security-approved control plane into a fast, self-service path to AI productivity across the company. You'll partner closely with Product Security, IAM, Engineering, and business leaders.
What you'll do
- Own the MCP gateway platform end to end. This covers 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. Build intake, request, and provisioning flows (Compass/ServiceNow, Slack, Okta), documentation, and self-service paths that cut time-to-access from weeks to hours.
- Partner with Product Security and IAM on MCP approval, threat modeling, least-privilege scopes, and incident response. Turn security requirements into operational guardrails that don't block adoption.
- Run operations for the platform. This includes L1/L2 support models, runbooks, SLAs, monitoring and observability of tool usage, and vendor management (e.g., Cequence and SaaS connector vendors).
- Drive adoption and measure impact. Define and report adoption, usage, and value metrics by function to IT and SLG leadership, and identify the next high-leverage integrations.
- Automate access governance. Integrate the gateway with joiner/mover/leaver processes, access reviews, and audit evidence for SOX and regulatory requirements.
- Set technical direction. Evaluate emerging agent and tool-access standards (MCP, A2A, agent identity), build vs. buy, and the roadmap for internal and customer-facing AI interfaces.
- Mentor and influence. Guide IC1–IC4 engineers and analysts, and influence function-level decisions with senior ICs and SLG.
What you'll need
- Bachelor's degree and 12+ years of related experience (or Master's and 10+ years; 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 their planning, execution, and resourcing.
- Hands-on experience with LLM and agent tooling: MCP servers and clients, API gateways, and AI coding assistants such as Claude Code, Cursor, or Copilot.
- Deep knowledge of identity and access: SSO/SAML, OAuth 2.0/OIDC, SCIM, Okta, and least-privilege and RBAC design.
- Strong integration and automation skills. That means REST/GraphQL APIs, 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, and to influence without authority.
Nice to have
- Experience building or running an AI gateway, API gateway, or developer platform (e.g., Cequence, Kong, Apigee).
- Experience building Slack bots, deflection bots, or 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 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.
To view all of our comprehensive and competitive benefits, visit our
Benefits at SoFi page!
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
We are unable to accommodate remote work from Hawaii, Alaska or Puerto Rico at this time.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
