Security Engineer, VP – AI & Software Security

Blackstone is the world’s largest alternative asset manager. Blackstone seeks to deliver compelling returns for institutional and individual investors by strengthening the companies in which the firm invests. Blackstone’s over $1.3 trillion in assets under management include global investment strategies focused on real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries and hedge funds. Further information is available at  Follow @blackstone on Linked In, X (Twitter), and Instagram.

Blackstone Technology Innovations Profile:

Blackstone Technology and Innovations (BXTI) is the technology team at the core of each of Blackstone’s businesses and new growth initiatives. Serving both internal and external clients, we work to build the next generation of systems that manage risk, create efficiency, and improve transparency within the firm and across our broad community of investors and portfolio companies.

BXTI is fast paced and entrepreneurial – our open, iterative design processes and rapid pace of development mean that everyone on the team has the opportunity to make an impact from day one. We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone.

We are critical to the firm maintaining its competitive edge.

Your Team and Role:

Blackstone’s Security Engineering (Sec Eng) Team is responsible for enabling secure software delivery across the firm by identifying, assessing, and reducing technology risk while maintaining development velocity. As Blackstone rapidly expands its use of AI, LLM, machine learning platforms, and AI-enabled software, the Sec Eng team plays a critical role in ensuring these systems are designed, built, and operated securely.

The Security Engineer – AI & Software Security role focuses on securing AI systems, platforms, and use cases across the firm. This includes working closely with engineering, data science, platform, and product teams to embed security into the AI software development lifecycle, from design through deployment and operation.

This role is highly cross-functional and execution-oriented. You will perform security reviews, threat modeling, code review, penetration testing, and secure design for AI-enabled applications and supporting platforms. You will also help define scalable security patterns and controls that allow teams to safely build and deploy AI solutions in cloud-native environments.

You will join a collaborative team of security and software engineers responsible for evolving how Blackstone approaches application, cloud, and AI security as the firm continues to modernize its technology stack.

Responsibilities:

• Serve as a security engineering partner for AI-enabled applications, machine learning platforms, and data-driven systems across Blackstone.
• Perform architecture and design reviews for AI systems, including model pipelines, inference services, data flows, and supporting cloud infrastructure.
• Conduct secure code reviews for software and services that integrate AI//LLM/ML capabilities, with a focus on identifying security flaws, misuse cases, and unsafe patterns.
• Lead and execute penetration testing and adversarial testing activities for AI-enabled applications and APIs, including abuse scenarios unique to AI systems.
• Develop and maintain threat models for AI systems, addressing risks such as data poisoning, model theft, prompt injection, insecure model deployment, and unauthorized access.
• Partner with engineering and data science teams to embed secure-by-design principles into AI development workflows, CI/CD pipelines, and platform services. Help define and standardize security controls, guardrails, and reference architectures for applied AI use cases in cloud-native environments.
• Work with platform and cloud teams to ensure AI workloads are securely deployed using containers, Kubernetes, and managed cloud services.
• Translate complex AI security risks into clear, actionable guidance for technical and non-technical stakeholders.
• Contribute to security risk reduction…