Senior Staff AI Enablement Engineer
SoFi is hiring a Senior Staff AI Enablement Engineer in Seattle and San Francisco, United States. Level rates it ; you can apply on SoFi.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Claude, Copilot and Cursor among its tools and skills.
- Level classes it as a lead role.
- SoFi has 45 other open roles on Level.
- Posted in the last few days.
AI in this role
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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
- Education & Minimum Experience 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 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).
How we rate this
Senior Staff AI Enablement Engineer at SoFi rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used Claude in your day-to-day work.
- What are the limits of Copilot that you've run into, and how did you work around them?
- What's a project where you used Cursor hands-on?
- Walk me through how you've used Windsurf in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, Claude, Copilot, Cursor, and Windsurf. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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