Vice President, Cybersecurity Engineer - AI Security

Ares Management Corporation • New York, NY

9d • $250,000 - $270,000

About The Position

We are looking for a collaborative and forward‑thinking Cybersecurity Engineer to help lead the design and implementation of our AI Security Program. In this role, you will work closely with teams across the company to ensure our use of AI—large language models (LLMs), ML pipelines, commercial AI platforms, and AI‑enabled applications—is secure, responsible, and aligned with our organizational values. You will also contribute broadly to cloud, application, and platform security initiatives. You’ll partner with Data Security, Engineering, Architecture, Legal/Compliance, and top-tier business stakeholders to ensure our AI adoption is responsible, resilient, and secure by design. This is an opportunity to define foundational controls for a rapidly evolving domain. We are looking for you to bring curiosity, a security engineering foundation, and the ability to work with diverse stakeholders. We value diverse backgrounds, perspectives, and experiences, and we are committed to building a team where everyone feels they belong. We especially encourage candidates from underrepresented communities in cybersecurity and technology to apply. Our interview process focuses on problem-solving ability, practical skills, and collaborative mindset.

Requirements

• Significant experience in Cybersecurity (typically 8+ years), with significant hands-on experience in Security Engineering, Platform Engineering, Cloud Security, or Applied Cryptography OR equivalent practical expertise gained through nontraditional paths
• Hands-on experience with: Cloud platforms (Azure preferred), Kubernetes and containerized workloads, Network and identity security (e.g., OIDC, workload identity), CI/CD pipelines and infrastructure-as-code, Application security tooling (SAST/SCA/DAST, secret scanning, dependency security)
• Strong understanding of: LLM architectures and inference patterns, ML pipelines, model registries, and feature stores, AI-specific threats (e.g., prompt injection, data leakage, model poisoning, supply chain attacks)
• Scripting or programming in Python, TypeScript, or similar.
• Experience influencing technical decision-makers and driving cross-team initiatives.
• Clear communicator who can translate risk into engineering work

Nice To Haves

• Experience with AI/ML platforms such as Azure ML, Databricks, SageMaker, or similar.
• Exposure to AI security or responsible AI frameworks.
• Experience securing data pipelines, model registries, or vector stores.
• Experience building developer tooling or platform guardrails.
• Professional Certifications (e.g., GSEC, GCIA, CISSP, OSCP) are valued but not required
• Advanced certifications in cloud and AI security are a plus.

Responsibilities

• Lead AI Security Program Development
• Develop and maintain an AI security strategy and control framework that is transparent, practical, and accessible to teams across the organization.
• Partner with Data Science, ML Engineering, Platform Engineering, Architecture, Legal, and Risk teams to build secure patterns for LLMs, model pipelines, vector databases, and AI‑integrated applications.
• Implement safeguards against AI‑specific risks such as prompt injection, data exposure, model exfiltration, misalignment, and unsafe output behaviors.
• Contribute to policies and guidelines that promote safe and ethical AI usage.
• Build secure-by-default tooling, templates, middleware, and reference architectures that make secure AI development easier for teams.
• Contribute to broader security engineering initiatives across cloud, application, and platform domains.
• Integrate AI safety and security controls into CI/CD pipelines and production environments.
• Work with engineering teams to implement identity, data protection, and workload isolation controls for AI systems.
• Facilitate inclusive, collaborative threat modeling sessions for AI/ML systems, encouraging contributions from technical and non-technical stakeholders.
• Support governance efforts using frameworks such as NIST AI RMF and OWASP Top 10 for LLMs.
• Help teams understand AI risks in clear, actionable language and integrate controls into their workflows.
• Implement monitoring for AI behavior, model integrity, data access, and user interaction patterns.
• Develop dashboards and key metrics that help teams understand the health, safety, and security of AI systems.
• Partner with Cyber Platform Engineering and Security Operations to build incident response playbooks for AI‑related events (e.g., data contamination, prompt‑based attacks, anomalous model outputs).
• Serve as an approachable and trusted partner for engineering, data, product, and risk teams.
• Provide guidance in a supportive, inclusive manner, meeting teams where they are.
• Help build a culture of safe and responsible AI use through documentation, education, workshops, and community of practice efforts.
• Create paved roads and reusable assets that reduce friction for teams adopting secure AI technologies.

Benefits

• Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit.
• Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level