Generative AI Solutions Architect - AWS National Security AWS National Security Solutions Architects
Generative AI Solutions Architect - AWS National Security AWS National Security Solutions Architects
Posted on :
15-03-2025
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1 Vacancy
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Monthly Salary
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Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
Amazon Web Services is seeking a Generative AI Learning Solutions Architect to support our Intelligence Community customers in the Maryland Northern Virginia and Washington DC area.
Are you excited to help the Intelligence Community (IC) to leverage generative AI in their missions Eager to learn from many different enterprise use cases of AWS ML and generative AI Thrilled to be a key part of Amazon who has been investing in Machine Learning for decades pioneering and shaping the worlds AI technology Come join us!
At Amazon Web Services (AWS) we are helping the federal government build and use AI on the AWS Cloud. We are AI to large volumes of data and against a wide spectrum of problems.
Generative AI is rapidly growing in importance. Were seeing more and more amazing AI work being done from simple back office applications to complex mission changing agentic workflows. Given the scale required for developing AI models the cloud is an ideal place to deploy AI models and Amazon Web Services (AWS) is the leader in the deployment of AI. Were looking for someone passionate and deeply excited about this space. Someone who is devoted to helping IC customers understand how AI can make a big difference to their mission.
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that after start the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.
Key job responsibilities
As a Machine Learning Specialist Solutions Architect (SA) you will be the Subject Matter Expert (SME) for designing generative AI solutions that leverage AWS services to automate solutions and drive down costs for customers. As part of the Specialist Solutions Architecture team you will work closely with the other Specialist SAs to enable largescale customer use cases and drive the adoption of AWS for AI platforms. You will interact with other SAs in the field providing guidance on their customer engagements and you will develop white papers blogs reference implementations and presentations to enable customers and partners to fully leverage AI on AWS. You will also create field enablement materials for the broader SA population to help them understand how to integrate AWS AI solutions into customer architectures.
You must have deep technical experience working with technologies related to artificial intelligence machine learning deep learning or generative AI. A strong statistics mathematics computer science or technology background is preferred in addition to experience helping customers architect enterprise grade AI solutions. You will be familiar with the ecosystem of software vendors in the AI space as well as be able to operate in Python data science environments. You must have the ability to leverage this knowledge to help AWS customers in their software selection process.
Candidates must have great communication skills and be very technical with the ability to impress AWS customers at any level from executive to developer. Previous experience with AWS is desired but not required provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers partners and AWS service teams influencing their roadmaps and driving innovation.
If you are someone who enjoys innovating likes solving hard problems and working with innovative technology we would love to have you on the team.
About the team
About AWS
Why AWS Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled 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 conferences inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value worklife 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 theres nothing we cant achieve in the cloud.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
4 years of design implementation or consulting in applications and infrastructures experience
4 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
4 years of IT development or implementation/consulting in the software or Internet industries experience
Bachelors degree or CASP (CompTIA Advanced Security Practitioner) or CCSP (Certified Cloud Security Professional) or Cloud or CSSLP (Certified Secure Software Lifecycle Professional)
2 years experience in the field of AI Machine Learning Deep Learning NLP and related technologies.
2 years experience developing AI models in realworld environments and integrating AI/ML and other AWS services into largescale production applications.
Current active US Government Security Clearance of Top Secret or above.
Experience working within software development or Internetrelated industries
Experience migrating or transforming legacy customer solutions to the cloud
Experience with AWS technologies
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Are you excited to help the Intelligence Community (IC) to leverage generative AI in their missions Eager to learn from many different enterprise use cases of AWS ML and generative AI Thrilled to be a key part of Amazon who has been investing in Machine Learning for decades pioneering and shaping the worlds AI technology Come join us!
At Amazon Web Services (AWS) we are helping the federal government build and use AI on the AWS Cloud. We are AI to large volumes of data and against a wide spectrum of problems.
Generative AI is rapidly growing in importance. Were seeing more and more amazing AI work being done from simple back office applications to complex mission changing agentic workflows. Given the scale required for developing AI models the cloud is an ideal place to deploy AI models and Amazon Web Services (AWS) is the leader in the deployment of AI. Were looking for someone passionate and deeply excited about this space. Someone who is devoted to helping IC customers understand how AI can make a big difference to their mission.
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that after start the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.
Key job responsibilities
As a Machine Learning Specialist Solutions Architect (SA) you will be the Subject Matter Expert (SME) for designing generative AI solutions that leverage AWS services to automate solutions and drive down costs for customers. As part of the Specialist Solutions Architecture team you will work closely with the other Specialist SAs to enable largescale customer use cases and drive the adoption of AWS for AI platforms. You will interact with other SAs in the field providing guidance on their customer engagements and you will develop white papers blogs reference implementations and presentations to enable customers and partners to fully leverage AI on AWS. You will also create field enablement materials for the broader SA population to help them understand how to integrate AWS AI solutions into customer architectures.
You must have deep technical experience working with technologies related to artificial intelligence machine learning deep learning or generative AI. A strong statistics mathematics computer science or technology background is preferred in addition to experience helping customers architect enterprise grade AI solutions. You will be familiar with the ecosystem of software vendors in the AI space as well as be able to operate in Python data science environments. You must have the ability to leverage this knowledge to help AWS customers in their software selection process.
Candidates must have great communication skills and be very technical with the ability to impress AWS customers at any level from executive to developer. Previous experience with AWS is desired but not required provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers partners and AWS service teams influencing their roadmaps and driving innovation.
If you are someone who enjoys innovating likes solving hard problems and working with innovative technology we would love to have you on the team.
About the team
About AWS
Why AWS Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled 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 conferences inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value worklife 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 theres nothing we cant achieve in the cloud.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
4 years of design implementation or consulting in applications and infrastructures experience
4 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
4 years of IT development or implementation/consulting in the software or Internet industries experience
Bachelors degree or CASP (CompTIA Advanced Security Practitioner) or CCSP (Certified Cloud Security Professional) or Cloud or CSSLP (Certified Secure Software Lifecycle Professional)
2 years experience in the field of AI Machine Learning Deep Learning NLP and related technologies.
2 years experience developing AI models in realworld environments and integrating AI/ML and other AWS services into largescale production applications.
Current active US Government Security Clearance of Top Secret or above.
Experience working within software development or Internetrelated industries
Experience migrating or transforming legacy customer solutions to the cloud
Experience with AWS technologies
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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