Lead Security Engineer (AI) – Product Security

Nubank

Hybrid

Quick summary

Work type
Hybrid
Location
Durham · Miami · Palo Alto · Washington DC
Posted
today

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Salary context

How this pay compares to similar roles

Similar $205k
$156k most similar roles pay here $254k

This listing doesn't post a salary. Most similar roles pay $165,082–$244,400.

Based on 240 similar postings.

Employer

About Nubank

Nubank is one of the world's largest digital financial services companies, offering credit cards, personal loans, savings accounts, and insurance to tens of millions of customers across Brazil, Mexico, and Colombia.

Nubank currently has 11 open roles on FindRole.

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At a glance

TL;DR · Lead Security Engineer (AI) – Product Security

The Lead Security Engineer (AI) role at Nubank's Information Technology & Security team in Durham, Miami, Palo Alto, and Washington DC is a senior position responsible for defining and implementing the company’s defensive security strategy for AI systems. This includes developing frameworks, standards, and runtime protections to ensure secure deployment of large language model (LLM)-powered applications, autonomous agents, and their underlying infrastructure. The role involves collaborating with engineering teams to integrate security controls into development pipelines, designing monitoring capabilities to detect misuse or abuse, and staying updated on emerging threats in AI security. Ideal candidates have deep expertise in product, application, or cloud security, hands-on experience with LLMs and agentic systems, and strong programming skills in languages like Python or Go. This role is crucial for shaping how Nubank builds trustworthy AI at scale across its fintech operations.

What you'll do

  • Lead the security strategy for Nubank's AI systems and build standards for secure deployment.
  • Secure AI agents by hardening tools, enforcing permissions, and monitoring behavior in production.
  • Design secure architectural patterns for LLM-based services and agent orchestration systems.
  • Develop detection and monitoring capabilities to identify abuse and anomalous behavior in AI systems.
  • Implement runtime protections for LLM applications, including prompt injection detection and output safety controls.
  • Collaborate with engineering teams to integrate security into AI development and deployment pipelines.

What we're looking for

  • Deep expertise in product security, application security, and cloud security.
  • Proven track record leading cross-team technical initiatives without direct authority.
  • Hands-on experience designing and implementing secure systems in production environments.
  • Experience with runtime security controls for high-throughput production systems.
  • Solid familiarity with LLM application architectures and their threat surfaces.
  • Strong understanding of agentic systems and AI infrastructure, including monitoring.
  • Programming skills in at least one production language for reviewing code.

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