B

Box

Builds secure content software for businesses

Senior Enterprise AI Security Engineer

Security Engineering & ArchitecturePosted on Nov 11
Full-timeRedwood City, CA, USA

About the Job

Requirements

  • Bachelor's or Master's degree in computer science, information security, or a related field, or equivalent practical experience.
  • 6+ years in enterprise or corporate security engineering, security platform engineering, application or product security, or a combination, with meaningful recent time spent on AI or agentic systems.
  • Hands-on experience securing real AI deployments, such as enterprise assistants, internal agents and their tool ecosystems, grounded search or retrieval-augmented generation over company data, or AI coding tools inside a developer environment.
  • A working mental model of how AI systems get abused and the ability to analyze AI workflows to determine guardrails.
  • Strong identity and access management fundamentals.
  • Experience with security automation in Python, Go, or a similar language, and a track record of building tooling, libraries, or platform controls.
  • Fluency in shadow AI, agentic and non-human identity, SaaS-to-SaaS integration risk, browser security, and data exfiltration paths.
  • Ability to explain AI risk and its business impact to practitioners.
  • Ability to work independently with autonomy, manage ambiguity, and recommend secure but risk-profiled decisions.

Responsibilities

  • Design, build, deploy, and maintain comprehensive security systems that let Box's workforce use AI tools and agents productively without losing visibility, identity boundaries, or control of company data.
  • Architect and operate the workforce AI control plane, including AI gateways, prompt and response logging, and egress controls across approved assistants and copilots or agents.
  • Extend identity and access management to agentic and non-human identities, including scoping, credential lifecycle, delegation, OAuth grant review, and revocation for agents and connectors accessing corporate SaaS.
  • Create an approval path for MCP servers and connectors, scope permissions per tool, and isolate execution for anything that runs code.
  • Harden the AI-era endpoint and browser layer through enterprise browser policy, extension governance, AI-assisted developer tooling, and local agent runtimes.
  • Build shared enforcement mechanisms, including policy engines, brokers, approval registries, and internal libraries, to catch injected instructions, attempts to bypass restrictions, misuse of tools, sensitive-data exfiltration, and anomalous agent behavior.
  • Lead security architecture reviews and threat modeling for AI vendors, AI features enabled in existing SaaS platforms, and internal agent deployments, tracing interactions among untrusted content, company data, and privileged credentials.
  • Own standards, reference architectures, and paved paths defining approved AI usage at Box, and build reusable patterns.
  • Partner with IT, Infrastructure, Incident Response, Engineering, Legal, and Privacy to mature AI governance, including AI-specific response playbooks.
  • Automate through scripting, infrastructure-as-code, and orchestration instead of manual review queues, and bring AI-assisted investigation tooling to the security team.
  • Raise the team's technical bar through design and code review, mentoring, and guidance.

Desired Qualifications

  • A track record of shipping internal security platforms.
  • Exposure to isolation and permissioning for autonomous workloads, or to AI red teaming and evaluation work.

About the Company

Box

Builds secure content software for businesses

Box builds cloud software for businesses and public agencies to manage documents and other business files, with tools for secure collaboration throughout their lifecycle. Its content platform brings file sharing, document approvals and electronic signatures into one place, so teams work with a shared set of files. Users access content through web, desktop and mobile apps, while administrators control permissions and retention rules. Box AI searches and summarizes business documents, and the company sells subscriptions priced by user alongside premium features and consulting services. Founded in 2005, Box is headquartered in Redwood City, California.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Redwood City, CA
Founded
2005

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