Sr. Deep Learning Architect , Global Services Security at Amazon
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generative ai
engineering
Are you looking to work at the forefront of AI/ML/Generative AI? Would you be excited to
apply cutting edge security to protect and scale AI/ML/Generative AI workloads? The Global
Services Security Solutions Team provides pioneering security solutions to enable customers
achieve their business outcomes. This role with partner with security experts to implement
security controls enabled throughout the lifecycle of ML and Generative AI phases of
development. The security controls will be defined for all phases including governance,
experimentation, testing, deployment and ongoing operational excellence. You will work
directly with customers and innovate in a fast-paced organization to empower customers to
apply both security and speed to market for their AI/ML/Generative AI workloads.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Key job responsibilities
-Lead the development of security guidance for AI/ML/Generative AI workloads built using
Amazon SageMaker, Amazon Bedrock, and Amazon Q
-Collaborate with security experts to validate and recommend security controls applicable
for all phases of AI/ML/Gen AI development lifecycle
-Design, build, test, and help deploy ML and generative AI solutions that have measurable
business and customer impact in security
-Facilitate discussions with senior leadership regarding technical/architectural trade-offs,
best practices, and risk mitigation
-Create and deliver best practice recommendations, tutorials, blog posts, sample code, and
presentations adapted to technical, business, and executive stakeholders
-Create detailed security documentation of solutions using reference architectures and
implementation/configuration guidance
-Provide customer and market feedback to Service and Engineering teams to help define
product direction
-Work with a cross section of AI experts to develop solutions that will be piloted with
customers for their production workloads
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our Amazon offices.
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA | Dallas, TX, USA | Herndon, VA, USA | Irvine, CA, USA | New York, NY, USA | Seattle, WA, USA
apply cutting edge security to protect and scale AI/ML/Generative AI workloads? The Global
Services Security Solutions Team provides pioneering security solutions to enable customers
achieve their business outcomes. This role with partner with security experts to implement
security controls enabled throughout the lifecycle of ML and Generative AI phases of
development. The security controls will be defined for all phases including governance,
experimentation, testing, deployment and ongoing operational excellence. You will work
directly with customers and innovate in a fast-paced organization to empower customers to
apply both security and speed to market for their AI/ML/Generative AI workloads.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Key job responsibilities
-Lead the development of security guidance for AI/ML/Generative AI workloads built using
Amazon SageMaker, Amazon Bedrock, and Amazon Q
-Collaborate with security experts to validate and recommend security controls applicable
for all phases of AI/ML/Gen AI development lifecycle
-Design, build, test, and help deploy ML and generative AI solutions that have measurable
business and customer impact in security
-Facilitate discussions with senior leadership regarding technical/architectural trade-offs,
best practices, and risk mitigation
-Create and deliver best practice recommendations, tutorials, blog posts, sample code, and
presentations adapted to technical, business, and executive stakeholders
-Create detailed security documentation of solutions using reference architectures and
implementation/configuration guidance
-Provide customer and market feedback to Service and Engineering teams to help define
product direction
-Work with a cross section of AI experts to develop solutions that will be piloted with
customers for their production workloads
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our Amazon offices.
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA | Dallas, TX, USA | Herndon, VA, USA | Irvine, CA, USA | New York, NY, USA | Seattle, WA, USA