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  • Senior Security Engineer, AI Security

    Amazon (Austin, TX)



    Apply Now

    Description

    We are seeking a Senior Security Engineer to join our GenAI Security team, which provides security guidance and builds security tooling and paved path solutions to ensure Generative AI (GenAI) based experiences developed by Amazon uphold our high security standards.

     

    As a Senior Security Engineer, you will be responsible for defining security standard, providing security guidance, and developing security guardrails to secure GenAI products and services at Amazon scale.

     

    You will collaborate with applied scientists, software engineers, security engineers, as well as internal partners and external researchers to develop innovative technologies to solve some of our hardest security problems, and build paved path solutions that support builder teams across Amazon throughout their software development journey, enabling Amazon businesses to accelerate the use of GenAI to enhance our user experiences and delight our customers.

     

    Key job responsibilities

     

    - Define GenAI security standard and provide security guidance to help builder teams develop and deploy secure GenAI models and applications

     

    - Partner with other security teams to adapt and improve security mechanisms to support GenAI innovations across the company at scale

     

    - Collaborate with software engineers and applied scientists to build automated tooling and paved path solutions that support builder teams throughout their software development journey

     

    - Research new security threats for GenAI systems and mechanisms for defending against such threats, to continuously improve our security guidance and paved path solutions

    Basic Qualifications

    - Bachelor's degree in computer science, cybersecurity, information security, or equivalent

     

    - 5+ years of experience in security engineering

     

    - Experience with Large Language Model (LLM) security including attack techniques and mitigation methods for LLMs

     

    - 3+ years of programming in Python, Java, C++ or similar language experience

    Preferred Qualifications

    - Experience with multimodal GenAI systems, and attack techniques and mitigation methods for such systems

     

    - Experience translating business needs into technical requirements

     

    - Excellent communication skills with both technical and non-technical audiences

     

    - Strong problem-solving ability and the ability to work in ambiguous and constantly evolving environment

     

    - Strong interest in researching and developing new technologies with high customer impact

     

    Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

     

    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

     

    Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

     


    Apply Now



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