Level

Point72

GenAI Security Engineer

AI in this role

ml-ops

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 as MCP 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.

How we rate this

GenAI Security Engineer at Point72 rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

ML Ops

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: ML Ops. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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