Amazon
Security Engineer II, AWS Applied AI Solutions Security
Amazon, Seattle, Washington, us, 98127
Security Engineer II, AWS Applied AI Solutions Security
Job ID: 3158268 | Amazon Development Center U.S., Inc.
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day‑to‑day operations. We will accomplish this by accelerating our customers’ businesses through the delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real‑world experience to build opinionated, turnkey solutions. Where customers prefer to buy rather than build, we become their trusted partner with solutions that are no‑brainers to buy and easy to use.
As an AI Security Engineer (SecEng), you will collaborate with our development teams to ensure we keep our customers safe while developing novel AI‑powered services. The ideal candidate combines deep technical security acumen with specialized expertise in AI/ML security and an ability to lead by influence and communicate clearly. Technically, this person will be a security generalist with deep expertise in AI security, including model security, adversarial ML, secure AI development practices, and agentic AI security. In their communication, they will clearly articulate AI‑specific risks—from model poisoning to prompt injection to data exfiltration through AI agents—to technical and non‑technical audiences alike. Interpersonally, successful candidates will effectively harmonize disparate opinions while prioritizing AI security risks to guide their partners toward secure AI solutions.
Key Job Responsibilities
Creating, updating, and maintaining threat models specifically for AI/ML systems, including LLMs, agentic AI platforms, model training pipelines, and AI inference services.
Providing security architecture and design guidance for AI systems, including secure model deployment, AI agent orchestration security, and AI supply chain security.
Conducting AI‑specific secure code reviews for ML training pipelines, inference services, and agentic AI frameworks.
Performing manual and automated secure code review for AI/ML applications and supporting infrastructure.
Conducting application security reviews, secure architecture design, and threat modeling.
Working on projects and research as needed, documenting security guidance, delivering security metrics, and improving processes.
Analyzing AI agent tool use, function calling, and external integrations for security implications.
Executing data privacy and security reviews for AI training data, including PII detection, data lineage tracking, and secure data handling in ML pipelines.
Managing model governance and security controls for model versioning, access control, and audit logging.
Providing security training and outreach on secure AI development practices for AI/ML development teams.
Independently solving AI security problems that require novel methods or approaches.
Influencing team and partner processes, priorities, and choices to improve AI security outcomes.
Driving adoption of responsible AI practices and AI risk management frameworks.
Basic Qualifications
3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object‑oriented language.
3+ years of scripting, programming, and security code review in a common programming language (non‑internship).
2+ years of troubleshooting system issues, analyzing logs, or automating basic tasks using command‑line tools (non‑internship).
Bachelor’s degree in computer science, a STEM field (Science, Technology, Engineering, Mathematics), or equivalent experience in IT security.
Knowledge of networking protocols such as HTTP, DNS and TCP/IP.
Knowledge of industry‑based security vulnerabilities and remediation techniques.
Experience in scripting, programming, and security code reviewing in a common programming language (non‑internship).
Experience in troubleshooting system issues, analyzing logs, or automating basic tasks using command‑line tools (non‑internship).
Preferred Qualifications
3+ years of any combination of threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration, or network security experience.
2+ years of scripting, programming, or security code review in a common language such as Python, Java, or C++.
Knowledge of command‑line tools for troubleshooting protocols, analyzing log outputs, or automating basic tasks.
Knowledge of system security vulnerabilities and remediation techniques, including penetration testing and exploit development.
Knowledge of networking protocols, including HTTP(S), DNS, and TCP/IP.
Experience with AWS products and services.
Experience with programming languages such as Python, Java, C++.
Experience performing security activities across one or more phases of the software development lifecycle (SDLC), such as security design review, threat modeling, secure code review, and security testing.
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Location: USA, WA, Seattle – Salary: $159,300.00 – $202,400.00 USD annually.
Posted:
January 5, 2026
(Updated about 11 hours ago)
#J-18808-Ljbffr
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day‑to‑day operations. We will accomplish this by accelerating our customers’ businesses through the delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real‑world experience to build opinionated, turnkey solutions. Where customers prefer to buy rather than build, we become their trusted partner with solutions that are no‑brainers to buy and easy to use.
As an AI Security Engineer (SecEng), you will collaborate with our development teams to ensure we keep our customers safe while developing novel AI‑powered services. The ideal candidate combines deep technical security acumen with specialized expertise in AI/ML security and an ability to lead by influence and communicate clearly. Technically, this person will be a security generalist with deep expertise in AI security, including model security, adversarial ML, secure AI development practices, and agentic AI security. In their communication, they will clearly articulate AI‑specific risks—from model poisoning to prompt injection to data exfiltration through AI agents—to technical and non‑technical audiences alike. Interpersonally, successful candidates will effectively harmonize disparate opinions while prioritizing AI security risks to guide their partners toward secure AI solutions.
Key Job Responsibilities
Creating, updating, and maintaining threat models specifically for AI/ML systems, including LLMs, agentic AI platforms, model training pipelines, and AI inference services.
Providing security architecture and design guidance for AI systems, including secure model deployment, AI agent orchestration security, and AI supply chain security.
Conducting AI‑specific secure code reviews for ML training pipelines, inference services, and agentic AI frameworks.
Performing manual and automated secure code review for AI/ML applications and supporting infrastructure.
Conducting application security reviews, secure architecture design, and threat modeling.
Working on projects and research as needed, documenting security guidance, delivering security metrics, and improving processes.
Analyzing AI agent tool use, function calling, and external integrations for security implications.
Executing data privacy and security reviews for AI training data, including PII detection, data lineage tracking, and secure data handling in ML pipelines.
Managing model governance and security controls for model versioning, access control, and audit logging.
Providing security training and outreach on secure AI development practices for AI/ML development teams.
Independently solving AI security problems that require novel methods or approaches.
Influencing team and partner processes, priorities, and choices to improve AI security outcomes.
Driving adoption of responsible AI practices and AI risk management frameworks.
Basic Qualifications
3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object‑oriented language.
3+ years of scripting, programming, and security code review in a common programming language (non‑internship).
2+ years of troubleshooting system issues, analyzing logs, or automating basic tasks using command‑line tools (non‑internship).
Bachelor’s degree in computer science, a STEM field (Science, Technology, Engineering, Mathematics), or equivalent experience in IT security.
Knowledge of networking protocols such as HTTP, DNS and TCP/IP.
Knowledge of industry‑based security vulnerabilities and remediation techniques.
Experience in scripting, programming, and security code reviewing in a common programming language (non‑internship).
Experience in troubleshooting system issues, analyzing logs, or automating basic tasks using command‑line tools (non‑internship).
Preferred Qualifications
3+ years of any combination of threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration, or network security experience.
2+ years of scripting, programming, or security code review in a common language such as Python, Java, or C++.
Knowledge of command‑line tools for troubleshooting protocols, analyzing log outputs, or automating basic tasks.
Knowledge of system security vulnerabilities and remediation techniques, including penetration testing and exploit development.
Knowledge of networking protocols, including HTTP(S), DNS, and TCP/IP.
Experience with AWS products and services.
Experience with programming languages such as Python, Java, C++.
Experience performing security activities across one or more phases of the software development lifecycle (SDLC), such as security design review, threat modeling, secure code review, and security testing.
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Location: USA, WA, Seattle – Salary: $159,300.00 – $202,400.00 USD annually.
Posted:
January 5, 2026
(Updated about 11 hours ago)
#J-18808-Ljbffr