Staff Cyber Security Engineer – AI Product Security

Bread Financial•Draper, UT

2d•$133,500 - $302,400•Hybrid

About The Position

The Staff Cyber Security Engineer is a senior individual contributor who will provide technical leadership in the design and advancement of cyber security solutions across complex environments. This role will lead cross-team security initiatives, influence architectural decisions, and address elevated security risks through deep technical expertise and collaboration. The candidate specializes in AI Security to help design, assess, and secure AI-enabled products and services throughout the software development lifecycle. This role focuses on identifying and mitigating risks associated with machine learning models, large language models (LLMs), AI agents, data pipelines, and cloud-native applications while ensuring compliance with security, privacy, and responsible AI requirements.

Requirements

Bachelor’s Degree in Computer Science, Information Technology, Engineering; or related field of study or equivalent, relevant work experience
8+ years of experience working in cybersecurity, security operations, IAM, PAM, cyber defense, or related technical roles.
Demonstrated experience designing, implementing, and maintaining security controls across infrastructure, cloud, and application environments.
Proven ability to lead complex technical work, operate independently, and influence security outcomes across multiple teams.

Nice To Haves

Master’s Degree in Computer Science, Information Technology, Engineering; or related field of study or equivalent, relevant work experience
Possession of industry-recognized certifications such as CISSP, CISM, CCSP, and/or cloud security certifications (e.g., AWS Certified Security)
10+ years of experience in cybersecurity, security engineering, security operations, IAM, PAM, cyber defense, or related technical domains.
2+ years of experience applying frameworks such as OWASP Top 10 for LLM applications, MITRE ATLAS, and NIST AI Risk Management.
2+ years of experience securing AI products in regulated industries.
Strong knowledge of AI/ML concepts, behavioral analytics, large language models, retrieval-augmented generation, and AI agent architectures.
Experience evaluating, integrating, and operationalizing commercial AI security platforms and emerging AI technologies.
Experience designing cloud-native security architectures in Amazon Web Services and Azure environments.

Responsibilities

Design and implement resilient security controls across infrastructure, cloud, and application environments; address complex threat scenarios and incorporate emerging cybersecurity and technology trends.
Lead security initiatives across multiple teams; provide technical direction, guidance, and mentorship to engineers and security practitioners.
Leads investigation and response to complex security incidents; drive root cause analysis and long‑term risk remediation.
Contribute to development and refinement of security standards, patterns, and controls aligned with risk and business objectives.
Partner with engineering, infrastructure, and platform teams to embed security into system design and delivery.