GenAI Security Engineer
About The Position
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.
Requirements
- 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.
Responsibilities
- 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.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
