1 month ago
Base Salary
$210k - $234k/yr
Responsibilities
- Own the multi-year security roadmap, strategy, and standards for Compass AI capabilities.
- Lead architectural reviews and threat modeling for AI features, RAG pipelines, multi-agent workflows, and automated decisioning.
- Architect and automate production protections for LLM inputs and outputs, including injection mitigation, jailbreak defense, output verification, and sensitive-data egress checks.
- Design authorization, human-in-the-loop controls, audit trails, and safe tool-invocation patterns for autonomous agents.
- Secure RAG retrieval layers through data access controls, source integrity, tenancy boundaries, and retrieval-boundary protections.
- Assess the security, privacy, retention, and training-use posture of third-party foundation models, inference providers, and vector stores.
- Build production telemetry and detections for AI abuse, anomalous tool invocation, prompt abuse, unusual retrieval behavior, and model-response data exfiltration.
- Ship reusable security libraries, CI/CD checks, and evaluation harnesses that make secure AI patterns the default.
- Advise engineers and executives on AI architecture, emerging risks, and technical security roadmaps.
Requirements
- 7+ years of security engineering experience, including 2+ years focused on AI/ML or LLM application security.
- Demonstrated experience securing a production AI or ML system across development, deployment, and runtime.
- Hands-on experience with adversarial ML and LLM risks, including prompt injection, model poisoning, data extraction, unsafe tool use, and red teaming.
- Strong application and cloud security fundamentals, including AWS and/or GCP, Kubernetes, IAM, API security, and DevSecOps practices.
- Experience threat modeling complex distributed systems and driving remediation with engineering teams.
- Strong production coding proficiency in Python or Go and experience building integrations and security pipelines.
- Deep working knowledge of transformer architectures, inference pipelines, RAG, prompt engineering, and the OWASP Top 10 for LLMs.
- Strong communication skills and the ability to translate AI security risks into technical roadmaps and business impact.
- Experience with multi-agent autonomous systems or Model Context Protocol architectures is preferred.
- Familiarity with MITRE ATLAS, NIST AI RMF, or comparable AI threat and risk frameworks is preferred.
- Experience building evaluation and safety-testing harnesses for LLM applications is preferred.
- Experience in regulated or consumer-data-heavy environments and prior AI platform security architecture or secure-by-default AI SDK work are preferred.
Benefits
- Base pay range is $210,000-$234,000, with potential bonuses and restricted stock units excluded from this benefits summary.
- Paid vacation, holidays, sick time, parental leave, and recharge leave.
- Medical, tele-health, dental, and vision benefits.
- 401(k), flexible spending accounts, commuter program, life and disability insurance, and pet insurance.
- Maven support for new parents, Carrot fertility benefits, UrbanSitter caregiver referrals, and an Employee Assistance Program.
- Participation in incentive programs and access to professional growth opportunities.
Categories
About Compass
Compass is a residential real estate brokerage and technology company that builds an end-to-end platform for agents and their clients. It earns primarily from brokerage commissions while providing CRM, marketing, listings, and transaction tools to help agents serve home buyers and sellers. Founded in 2012 and headquartered in New York City, Compass operates across major U.S. markets and is publicly traded on the NYSE.