Sr. Solutions Architect, Gen AI & AIML, AGS Specialist Solutions Architects
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
AWS Global Sales drives adoption of the AWS cloud worldwide enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service unmatched technology and committed support. We dive deep to understand each customers unique challenges then craft innovative solutions that accelerate their success. This customer-first approach is how we built the worlds most adopted cloud. Join us and help us grow.
Are you passionate about Artificial Intelligence Machine Learning and GenerativeAI Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/GenAI tools on Amazon Web Service (AWS) Come join us!
At Amazon weve been investing deeply in artificial intelligence for over 20 years and many of the capabilities customers experience in our products are driven by machine learning. recommendations engine is driven by machine learning (ML) as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain forecasting and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air and the computer vision technology in our new retail experience Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning and its a big part of our heritage.
Within AWS were focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow 2) Machine Learning Platforms such as Amazon SageMaker for data scientists and 3) API-driven GenAI Services like Amazon Bedrock and Amazon Bedrock AgentCore
AWS is looking for a Machine Learning Solutions Architect (ML SA) who will be the Subject Matter Expert (SME) for helping customers in the AMERICAS design solutions that leverage our GenAI services including Amazon Bedrock Amazon Bedrock AgentCore Amazon SageMaker and Amazon Quick. As part of the team you will work closely with customers to enable large-scale use cases design GenAI pipelines and drive the adoption of AWS for the AI/ML 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 to fully leverage GenAI on AWS. Additionally as the voice of the customer you will work closely with the service teams and submit product feature requests to drive the platform forward.
You must have deep technical experience working with technologies related to artificial intelligence machine learning and/or deep learning. A strong mathematics and statistics background is preferred in addition to experience building complex machine learning models and fine tuning LLMs including Open Source LLMs. You will be familiar with the ecosystem of software vendors in the GenAI space and will leverage this knowledge to help AWS customers in their selection process.
Travel up to 25% across the AMERICAs may be possible.
Key job responsibilities
Working with customers development and data science teams to deeply understand their business and technical needs. After understanding their needs you will design solutions that make the best use of the AWS cloud platform and AWS AI/ML Services including SageMaker Amazon Bedrock Amazon Comprehend Amazon Rekognition Amazon AgentCore Amazon Personalize and the other AI/ML services including LLMs that run on Bedrock.
Partner with SAs Sales Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment in the AMERICAS for Amazon SageMaker and related services that support GenAI use cases.
Thought Leadership Evangelize AWS ML services and share best practices through forums such as AWS blogs whitepapers reference architectures and public-speaking events such as AWS Summit AWS re:Invent etc.
Act as a technical liaison between customers and the AWS SageMaker or other service teams to provide customer driven product improvement feedback.
Develop and support an AWS internal community of GenAI related subject matter experts in the AMERICAS.
A day in the life
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the 8 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.
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 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 & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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 theres nothing we cant achieve in the cloud.
About the team
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the 8 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.
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 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 & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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 theres nothing we cant achieve in the cloud.
- 8 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- 3 years of design implementation or consulting in applications and infrastructures experience
- 10 years of IT development or implementation/consulting in the software or Internet industries experience
- 5 years of technology/software sales experience
- Experience in a technical role within a sales organization
- Knowledge of software development tools and methodologies
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 passionate about Artificial Intelligence Machine Learning and GenerativeAI Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/GenAI tools on Amazon Web Service (AWS) Come join us!
At Amazon weve been investing deeply in artificial intelligence for over 20 years and many of the capabilities customers experience in our products are driven by machine learning. recommendations engine is driven by machine learning (ML) as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain forecasting and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air and the computer vision technology in our new retail experience Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning and its a big part of our heritage.
Within AWS were focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow 2) Machine Learning Platforms such as Amazon SageMaker for data scientists and 3) API-driven GenAI Services like Amazon Bedrock and Amazon Bedrock AgentCore
AWS is looking for a Machine Learning Solutions Architect (ML SA) who will be the Subject Matter Expert (SME) for helping customers in the AMERICAS design solutions that leverage our GenAI services including Amazon Bedrock Amazon Bedrock AgentCore Amazon SageMaker and Amazon Quick. As part of the team you will work closely with customers to enable large-scale use cases design GenAI pipelines and drive the adoption of AWS for the AI/ML 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 to fully leverage GenAI on AWS. Additionally as the voice of the customer you will work closely with the service teams and submit product feature requests to drive the platform forward.
You must have deep technical experience working with technologies related to artificial intelligence machine learning and/or deep learning. A strong mathematics and statistics background is preferred in addition to experience building complex machine learning models and fine tuning LLMs including Open Source LLMs. You will be familiar with the ecosystem of software vendors in the GenAI space and will leverage this knowledge to help AWS customers in their selection process.
Travel up to 25% across the AMERICAs may be possible.
Key job responsibilities
Working with customers development and data science teams to deeply understand their business and technical needs. After understanding their needs you will design solutions that make the best use of the AWS cloud platform and AWS AI/ML Services including SageMaker Amazon Bedrock Amazon Comprehend Amazon Rekognition Amazon AgentCore Amazon Personalize and the other AI/ML services including LLMs that run on Bedrock.
Partner with SAs Sales Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment in the AMERICAS for Amazon SageMaker and related services that support GenAI use cases.
Thought Leadership Evangelize AWS ML services and share best practices through forums such as AWS blogs whitepapers reference architectures and public-speaking events such as AWS Summit AWS re:Invent etc.
Act as a technical liaison between customers and the AWS SageMaker or other service teams to provide customer driven product improvement feedback.
Develop and support an AWS internal community of GenAI related subject matter experts in the AMERICAS.
A day in the life
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the 8 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.
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 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 & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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 theres nothing we cant achieve in the cloud.
About the team
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the 8 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.
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 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 & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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 theres nothing we cant achieve in the cloud.
- 8 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- 3 years of design implementation or consulting in applications and infrastructures experience
- 10 years of IT development or implementation/consulting in the software or Internet industries experience
- 5 years of technology/software sales experience
- Experience in a technical role within a sales organization
- Knowledge of software development tools and methodologies
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including 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 and parental leave. Learn more about our benefits at CA San Francisco - 176600.00 - 239000.00 USD annually
Required Experience:
Senior IC
Key Skills
- Organizational Management
- Presentation Skills
- Agile
- SAFe
- AWS
- Solution Architecture
- Conflict Management
- Data Management
- Scrum
- Team Management
- Pre-sales
- Management Consulting
About Company
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