Manager III, SecEng, AppSec AI

Cybersecurity Jobs; Seattle (WA); On-site; USD 175,000 - 237,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Sign-on payments

RSUs

Job summary

Cybersecurity Jobs is seeking a Lead, Application Security to guide Amazon's Generative AI services. You will set strategy, scale secure review processes, and mentor a team focused on GenAI risk across AI-powered applications.

Responsibilities include directing GenAI security reviews, coordinating with data science and ML engineering, improving threat modeling and tooling, and delivering clear documentation for technical and non-technical audiences.

Qualifications

• 5+ years of experience managing and developing teams.
• Bachelor’s degree in Computer Science, Information Security, or a related field.
• Knowledge of security practices for web services, cryptography, networks, and operating system security.
• Experience applying threat modeling or other risk identification techniques to both traditional and AI-powered applications.
• Understanding of Generative AI, large language models, and AI application architectures.

Responsibilities

• Lead and develop a team of Security Engineers and TPMs for AppSec across GenAI services.
• Set strategic direction for GenAI application security reviews, prioritizing LLM integrations and prompt design.
• Partner with AI/ML teams to drive security initiatives and align with leadership.
• Improve GenAI security review processes and threat modeling for AI systems.
• Coordinate cross-team execution across data science, ML engineering, and product groups.
• Create high-quality documentation on GenAI security topics for technical and non-technical audiences.
• Advance automation, tooling, and security processes to scale reviews.
• Stay current on GenAI security threats and vulnerabilities, including prompt injection and model security.

Skills

People management

Threat modelling

GenAI security

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science, Information Security, or related field

Tools

GenAI security tools

AI/ML frameworks

LLM integrations

Job description

Lead Application Security for Amazon Generative AI services by setting strategy, scaling secure review processes, and guiding a team focused on LLM-integrated application risks.

Responsibilities

• Lead, manage, and develop a team of Security Engineers and Technical Program Managers responsible for Application Security (AppSec) across Amazon’s Generative AI services and AI-powered applications.


• Set the strategic direction for GenAI Application Security review processes, including goal-setting and prioritization for securing LLM integrations, prompt engineering workflows, and AI model deployments.


• Drive AI security initiatives and influence leadership and key stakeholders through close partnership with AI/ML teams across Amazon.


• Build a collaborative culture that helps the team deliver outcomes in a rapidly changing GenAI security environment.


• Coordinate effective cross-team execution and communication across multiple groups with competing priorities, including data science, ML engineering, and product teams.


• Improve internal programs and processes for GenAI security reviews, including threat modeling for AI systems, secure prompt design, and model security assessments.


• Create and deliver high-quality documentation for both technical and non-technical audiences covering complex GenAI security topics.


• Advance adoption of GenAI-specific security processes, automation, and tooling to increase operational efficiency and scale security reviews for AI applications.


• Stay current on emerging GenAI security threats and vulnerabilities, with expertise in areas such as prompt injection prevention, model security, RAG security, and AI supply chain security.


• Mentor and develop individual contributors, strengthening technical depth and leadership capabilities.

Requirements

• 5+ years of experience managing and developing teams.


• Bachelor’s degree in Computer Science, Information Security, or a related field.


• Knowledge of security practices for web services, video content protection technologies, cryptography, network security protocols, and operating system security.


• Experience applying threat modeling or other risk identification techniques to both traditional and AI-powered applications.


• Understanding of Generative AI technologies, large language models, and AI application architectures.

Technologies

• Generative AI


• Large language models (LLMs)


• LLM integrations


• Prompt engineering


• AI model deployments


• Threat modeling


• RAG security


• AI supply chain security


• Adversarial machine learning


• AI/ML frameworks


• LLM APIs


• RAG architectures


• AI model deployment pipelines


• Cryptography


• Network security protocols

Benefits

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)


• 401(k) matching


• Paid time off


• Parental leave


• Sign-on payments


• Restricted stock units (RSUs)

Preferred Qualifications

• Knowledge of information security technologies such as security design review, threat modeling, risk analysis, and software testing techniques.


• Experience with GenAI security challenges including prompt injection, model security, data privacy in AI systems, and adversarial machine learning.


• Familiarity with AI/ML frameworks, LLM APIs, RAG architectures, and AI model deployment pipelines.

Location: Seattle, WA (onsite)

Salary: USD 175,100 - 236,900 per year