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Addepar

Cloud-based wealth management data platform

Staff AI Security Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • At least 9 years of dedicated experience in security engineering, application security, infrastructure security, data security, or cloud security roles.
  • A proven track record of turning vague security problems into structured project plans and executing them to completion.
  • Expertise across AI, including AWS services, large language models, MCP, agentic agents, frameworks, governance and regulations, attacks, guardrails, and costs.
  • Experience with Amazon Web Services services, especially security services.
  • Strong experience and understanding of authentication and authorization protocols, including how to secure non-human identities appropriately.

Responsibilities

  • Keep up with trends, models, and innovations in AI security and advise on appropriate architectures.
  • Work with Engineering and Application Security teams to ensure products leverage AI securely across the platform.
  • Partner with the Architecture team to securely enable internal AI productivity initiatives and help the business leverage AI to streamline processes and enhance productivity.
  • Advise on or implement AI guardrails and controls to minimize data-loss risks and the use of insecure or unapproved AI methods.
  • Guide and mentor fellow Security teams on how to leverage AI for security benefits.
  • Keep AI governance documentation and guidance for employees up to date, and assist with questions or concerns.
  • Lead and execute complex, project-driven security enhancements across infrastructure, applications, and the corporate environment.
  • Collaborate with engineering and product teams to architect, build, and deploy scalable, resilient security solutions.
  • Build tools, guardrails, and automated workflows that help development teams ship secure code quickly and safely.
  • Identify security-posture gaps, design remediation plans, and execute them through to maturity.
  • Advise engineering, product, and R&D teams on security and foster a culture of security enablement.
  • Mentor junior and mid-level engineers in the Information Security & Risk team.

Desired Qualifications

  • A software engineering background.
  • An AI-based certification such as AAISM, AAIA, or CAISP.
  • Knowledge and experience with AI frameworks such as the NIST AI Framework or the EU Artificial Intelligence Act.
  • Knowledge and experience with MITRE ATLAS or OWASP Top 10 for LLMs.
  • A Bachelor's or Master's degree focused on Information Systems, Computer Science, or Security.

About the Company

Addepar

Cloud-based wealth management data platform

Addepar offers a cloud-based wealth management platform that consolidates data for data aggregation, analytics, and reporting. It ingests data from custodians, fund administrators, and broker-dealers to present a single, real-time view with tools for performance, risk, scenario modeling, and automated billing, plus a broad API and hundreds of integrations. It specializes in complex, multi-asset and illiquid portfolios (like private equity and real estate) for high-net-worth clients, with pricing based on assets under management. Its goal is to deliver transparent, data-driven insights and an integrated, scalable system that streamlines portfolio oversight and operations for wealth managers.

Company size
1,001-5,000
Company stage
Series G
Total funding
$872.8M
Headquarters
New York City, New York
Founded
2009

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