Amazon
Sr. GenAI Specialist Solutions Architect - Retail/CPG
Amazon, San Francisco, California, United States, 94199
Sr. GenAI Specialist Solutions Architect - Retail/CPG
Job ID: 2787550 | Amazon Development Center U.S., Inc.Are you passionate about Generative AI (GenAI)? Do you want to help define the future of Go to Market (GTM) at Amazon Web Services (AWS) using generative AI? In this role, you will help our customers build and deploy GenAI enabled applications using Amazon Bedrock and SageMaker, fine tune and build Generative AI models, and help enterprise customers leverage these models to power end applications. You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services.AWS is looking for a Generative AI Solution Architect, who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our Generative AI services. As part of the Worldwide Specialist Solutions Architecture team, you will work closely with other Specialist Machine Learning Architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for ML/AI platforms.Key job responsibilities:Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.Partner with Solution Architects, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements.Act as a technical liaison between customers and the AWS SageMaker services teams to provide customer driven product improvement feedback.Develop and support an AWS internal community of ML related subject matter experts worldwide.Customer Advisor - Implement, and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, PoCs, and explore new solutions.BASIC QUALIFICATIONS
- 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 experiencePREFERRED QUALIFICATIONS
- 5+ years of infrastructure architecture, database architecture and networking experience- Experience working with end user or developer communities- Experience managing data pipelines- Experience as a leader and mentor on a data science team- Active in the open source community, such as HuggingFace, StableDiffusion, etc- Large models pretrain/fine-tuning experience, familiar with distributed trainingAWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. 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.
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Job ID: 2787550 | Amazon Development Center U.S., Inc.Are you passionate about Generative AI (GenAI)? Do you want to help define the future of Go to Market (GTM) at Amazon Web Services (AWS) using generative AI? In this role, you will help our customers build and deploy GenAI enabled applications using Amazon Bedrock and SageMaker, fine tune and build Generative AI models, and help enterprise customers leverage these models to power end applications. You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services.AWS is looking for a Generative AI Solution Architect, who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our Generative AI services. As part of the Worldwide Specialist Solutions Architecture team, you will work closely with other Specialist Machine Learning Architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for ML/AI platforms.Key job responsibilities:Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.Partner with Solution Architects, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements.Act as a technical liaison between customers and the AWS SageMaker services teams to provide customer driven product improvement feedback.Develop and support an AWS internal community of ML related subject matter experts worldwide.Customer Advisor - Implement, and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, PoCs, and explore new solutions.BASIC QUALIFICATIONS
- 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 experiencePREFERRED QUALIFICATIONS
- 5+ years of infrastructure architecture, database architecture and networking experience- Experience working with end user or developer communities- Experience managing data pipelines- Experience as a leader and mentor on a data science team- Active in the open source community, such as HuggingFace, StableDiffusion, etc- Large models pretrain/fine-tuning experience, familiar with distributed trainingAWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. 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.
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