AI Security Engineer

Social Leverage LLC; United States; Remote; USD 130,000 - 170,000; Full time

Benefits offered by this job

Stock options

Home-office stipend

Brex Card stipend

Job summary

Alpaca is seeking an AI Security Engineer to own technical security controls for AI usage across agents and automations. You’ll establish identity access, guardrails, and security logging, collaborating with AI Enablement, Engineering, DevOps, GRC, and Security. The role is fully remote with a distributed Security Team.

The ideal candidate has 2+ years in security roles, hands-on experience securing AI/LLM tools, and strong Python and cloud-security skills. On-call rotation is expected.

Qualifications

• 2+ years in security engineering, application security, or cloud security roles.
• Hands-on experience securing LLM applications, AI agents, or AI developer tools.
• Experience with identity/access controls for services and non-human identities (OAuth, service accounts, secrets).
• Programming experience in Python or another general-purpose language.
• Experience with CI/CD security checks and cloud-native deployments.
• Experience with security operations or incident response.
• Strong written and verbal communication, especially for risk explanations to non-security builders.
• Willing to participate in on-call rotation.
• Experience building AI-assisted workflows for security operations and telemetry for AI systems.

Responsibilities

• Own AI access controls for agents, bots, and automations; define access and auditing.
• Define security requirements for internal AI apps, data handling, secrets, and integrations.
• Design guardrails and security tooling for AI platforms and integrations.
• Review new AI applications for security risks and provide concrete requirements.
• Develop AI-powered tooling to support detection, investigation, and response.
• Ensure security logging and telemetry for AI systems and approved configurations.
• Lead AI-specific aspects of security incidents, such as data exposure.
• Participate in on-call rotation after onboarding and cross-training.

Skills

Security engineering

Application security

Cloud security

LLM security

Identity & access mgmt

OAuth

Secrets management

Python

CI/CD security

Cloud-native deployments

Incident response

On-call readiness

Security tooling

Communication

Tools

Kubernetes

Policy-as-code

Job description

Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.

Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.

Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.

Our Team Members:

We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!

We're searching for passionate individuals eager to contribute to Alpaca's rapid growth.

Your Role:

We are seeking an AI Security Engineer to own the technical security controls for how Alpaca uses AI. The scope includes identity for AI agents and automations, security requirements for AI tools and integrations, guardrails, and security logging. You will also assist in developing AI-powered security tooling.

You will keep those controls consistent as AI adoption grows, and you will work with the teams building with AI so security is part of the design.

This role reports to the Enterprise Security Architect and works closely with AI Enablement, Engineering, DevOps, GRC, and the wider Security team.

The Security Team is 100% distributed and remote.

Things You Get To Do:

The core responsibilities of the AI Security Engineer are focused on AI access controls, secure AI platforms, guardrails, visibility into AI usage, and AI-powered security tooling.

AI Identity and Access Controls:

• Agent Identity: Define how AI agents, bots, and automations authenticate, what they can access, and how their actions are attributed and audited.
• Tool Access: Own security requirements for AI tool integrations, including least-privilege access and credential handling.
• AI Assistant Controls: Define and enforce security settings for approved AI tools, including data handling and access policy.
• Least Privilege: Limit each agent and integration to the access it needs, and review that access when the integration changes.

Secure AI Platform, Tooling, and Response:

• Security Requirements: Define security requirements for internal AI applications, including identity, data handling, secrets, and review of new integrations.
• Guardrails: Design and implement guardrails for AI applications and agents.
• Design Reviews: Review new AI applications and integrations for security risks, and give builders clear, practical requirements.
• Security Tooling: Assist Security Operations in developing AI-powered tooling that supports detection, investigation, and response work.
• Safe Use in Security: Apply the same identity, data handling, and logging requirements to security team AI tools as to the rest of the company.
• Telemetry Requirements: Define the security logging AI systems must produce, and work with Security Operations on detection.
• Approved Use: Maintain visibility into AI tool usage and confirm it follows approved configurations.
• Incident Support: Lead the AI-specific aspects of security incidents, such as agent misuse or data exposure through AI tools.
• On-Call: Participate in the Security Operations on-call rotation after onboarding and cross-training.

Governance:

• Standards: Turn AI security standards into technical controls.
• GRC Partnership: Partner with GRC on AI governance and provide technical evidence for control design.

Who You Are (Must-Haves):

• Excited about Alpaca’s mission and what we’re building
• 2+ years of experience in security engineering, application security, or cloud security roles
• Hands-on experience securing LLM applications, AI agents, or AI developer tools
• Understanding of AI-specific risks, such as prompt injection, data leakage, excessive agency, and insecure tool use (for example, the OWASP Top 10 for LLM Applications)
• Experience with identity and access controls for services and non-human identities, including OAuth, service accounts, and secrets management
• Programming experience in Python or another general-purpose language
• Experience with CI/CD security checks and cloud-native deployments
• Experience with security operations or incident response
• Strong written and verbal communication skills, especially when explaining risk to non-security builders
• Comfortable working cross-functionally and making pragmatic security decisions
• Willing to participate in an on-call rotation
• Experience building AI-assisted workflows for security operations
• Experience building security telemetry for AI systems

Who You Might Be (Nice-to-Haves):

• Experience securing financial, trading, or other highly regulated platforms
• Experience securing enterprise AI coding tools and AI integrations
• Experience with policy-as-code and Kubernetes
• Familiarity with AI governance frameworks, such as the NIST AI Risk Management Framework or ISO 42001
• Ability to balance security rigor with operational efficiency and business needs

How We Take Care of You:

• Competitive Salary & Stock Options
• New Hire Home-Office Setup: One-time USD $500
• Monthly Stipend: USD $150 per month via a Brex Card

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

Location Central America, North America, Remote, South America

Work Mode Remote

Seniority Associate

Function Data Science, Software Engineering

Company Size 201-500 employees

Skills Application Security Cloud Computing Security Identity And Access Management Incident Response Operations Security Python (Programming Language) Security Engineering Telemetry