Note: The job is a remote job and is open to candidates in USA. Addepar is a global data and AI platform that helps investment professionals turn complex financial information into actionable intelligence. The company is seeking a Staff AI Security Engineer to lead AI-focused security strategy, architecture, governance, threat protection, and organization-wide security initiatives while mentoring security engineers and collaborating across teams.
Responsibilities
- Keep up with the latest trends, models and innovations in all facets of AI Security and advise on proper architectures
- Working with our Engineering and Application Security teams to ensure our products are leveraging AI in a secure manner across our platform
- Partnering with our Architecture team to continue to evolve Addepar’s Internal AI Productivity initiatives by securely enabling our business to leverage AI to streamline processes and enhance productivity
- Advising or implementing guardrails and controls to minimize data loss risks and use of insecure or unapproved methods of AI use
- Guiding and Mentoring fellow Security teams on how to leverage AI for security benefits
- Ensure documentation and guidance for all employees is kept up to date and assist with any questions or concerns that arise
- Lead and execute complex, project-driven security enhancements across the organization’s infrastructure, applications, and corporate environment
- Collaborate with engineering and product teams to architect, build, and deploy scalable, resilient security solutions
- Build tools, guardrails, and automated workflows that empower development teams to ship secure code quickly and safely
- Identify gaps in the current security posture, design remediation plans, and systematically execute them to maturity
- Act as a trusted security advisor across engineering, product, and R&D teams, fostering a strong culture of security enablement rather than restriction
- Mentor junior and mid-level engineers within the Information Security & Risk team, helping to elevate collective technical capabilities
Skills
- Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment
- Experience: 9+ years of dedicated experience in security engineering, application security, infrastructure security, data security or cloud security roles
- Project Leadership: Proven track record of taking vague security problems, turning them into structured project plans, and executing them to completion
- Attention to details and analytical skills
- Curious, always learning and deeply interested in Information Security
- Ability to build strong relationships and work collaboratively with internal and external partners
- Excellent verbal and written communication skills with the ability to build strong relationships with internal stakeholders and external partners
- Deep expertise in all aspects of AI including AWS Services, LLM's, MCP, Agentic Agents, Frameworks, Governance & Regulations, Attacks, Guardrails and solid understanding of costs
- Amazon Web Services across its most widely used services, especially Security services
- Strong experience and understanding with Authentication & Authorization protocols. and how non-human identities can be secured appropriately
- A Software Engineering background is a strong plus
- AI based certification such as AAISM, AAIA or CAISP
- Knowledge and Experience with AI based frameworks such as NIST AI Framework or EU Artificial Intelligence Act
- Knowledge and Experience with MITRE ATLAS or OWASSP Top 10 for LLM's
- Bachelors or Masters Degree with a focus in Information Systems/Computer Science/Security
Benefits
- Bonus
- Equity
- Benefits
Company Overview