GenAI Security Engineer

Point72 Asset Management, L.P; New York (NY); On-site; USD 225,000 - 300,000; Full time

Benefits offered by this job

Fully-paid health care benefits

Generous parental and family leave

Mental and physical wellness programs

Tuition assistance

401(k) savings program with employer match

Job summary

A leading investment firm in New York is seeking a GenAI Security Engineer to develop security controls for their AI systems. The ideal candidate will have over 6 years of software engineering experience, strong knowledge of Python and Kubernetes, and a solid background in cybersecurity. This role involves defining secure architectures, leading risk assessments, and collaborating with internal teams. The company offers a comprehensive benefits package and a competitive salary ranging from $225,000 to $300,000.

Qualifications

• 6+ years of software engineering experience with strong coding in Python, Go, or Java.
• Experience building containerized services using Kubernetes.
• Ability to deliver robust security controls and advocate for safety and privacy.

Responsibilities

• Develop and implement security controls for GenAI systems.
• Lead AI threat modeling and risk assessments.
• Define secure architectures for cloud-native GenAI workloads.

Skills

Software engineering experience

Python

Kubernetes

AI/ML tools

Communication skills

Cybersecurity background

Job description

A Career with Point72’s Technology Group

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.

What you’ll do

As a GenAI Security Engineer, you will develop and implement next-generation security controls to protect the firm’s agentic and human-in-the-loop GenAI systems.Specifically, you will:

• Build and run generative AI (GenAI) security controls for applications and platforms, including guardrails for model usage and API integrations.
• Secure agent/tool-calling and connector workflows, such asMCP or equivalent, to prevent tool abuse and data exfiltration.
• Lead AI threat modeling and risk assessments, maintaining threat models for prompt injection, jailbreaks, tool injection, data exfiltration, training data leakage, and supply chain risks, and driving mitigations.
• Define secure-by-default reference architectures for cloud-native and hybrid GenAI workloads, including network isolation and secrets handling.
• Develop and continuously improve monitoring and detection for anomalous AI behavior and unsafe outputs.
• Lead incident response and remediation for security events involving AI applications and/or data breaches.
• Translate policy and regulatory requirements into implementation, including governance artifacts, evidence collection, control testing, and audit-ready documentation
• Act as the GenAI security SME with other internal Technology teams, Compliance, and business stakeholders, staying current on evolving threats.

What’s required

• 6+ years of software engineering experience with strong coding experience in one or more general purpose languages, such as Python, Go, and/or Java.
• Experience building containerized services using Kubernetes.
• Experience with AI/ML and/or GenAI tools and technologies.
• Experience defining and implementing infrastructure and application pipelines.
• Expert understanding of software development methodologies and concepts.
• Ability to deliver robust, production-ready security controls for agentic GenAI systems and platforms, drive continuous improvement, advocate for safety and privacy-by-design, and communicate effectively with technical and business stakeholders.
• Comfort partnering across various internal teams, such as DevOps, MLOps, Product, Legal, and Compliance, to land guardrails without blocking delivery.
• Excellent organizational, communication, interpersonal, motivational skills in achieving business objectives.
• Background in cybersecurity, including threat modeling and broader security engineering practices.
• Commitment to the highest ethical standards.

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully-paid health care benefits
• Generous parental and family leave policies
• Mental and physical wellness programs
• Volunteer opportunities
• Non-profit matching gift program
• Support for employee-led affinity groups representing women, minorities and the LGBTQ+ community
• Tuition assistance
• A 401(k) savings program with an employer match and more

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.

The annual base salary range for this role is $225,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.