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Manager III, SecEng, AppSec AI

Amazon.com Services LLC Seattle, WA

Seattle, WA

Today

$175k - $237k/yr Full time Manager Adversarial Ml Ai Model Deployment Security

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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

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