Amazon Web Services (AWS)
Sr. Deep Learning Architect, Generative AI Innovation Center
Amazon Web Services (AWS), San Francisco, California, United States, 94199
Overview
Sr. Deep Learning Architect, Generative AI Innovation Center at Amazon Web Services (AWS). This role focuses on applying Generative AI to solve real-world problems with significant impact. The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. The team includes strategists, scientists, engineers, and architects working with customers to build bespoke generative AI solutions. The team helps customers imagine and scope use cases, define paths to navigate challenges, develop proof-of-concepts, and plan for launching solutions at scale, with guidance on applying generative AI responsibly and cost efficiently. Responsibilities
Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges Interact with customers to understand business problems, aid in implementing generative AI solutions, brief customers, and guide adoption patterns and paths to production Create and deliver best-practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders Provide customer and market feedback to product and engineering teams to help define product direction About the Team / Why AWS
AWS is the world’s most comprehensive and broadly adopted cloud platform. We value diverse experiences and encourage candidates to apply even if not meeting all preferred qualifications. Basic Qualifications
Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) 5+ years of experience designing, building, and/or operating cloud solutions in a production environment 4+ years hosting and deploying ML solutions (training, fine tuning, and inference) 4+ years of hands-on experience with Python to build, train, and evaluate models 4+ years of technical client engagement experience Preferred Qualifications
Masters or PhD in computer science, or related technical, math, or scientific field 3+ years experience working with deep learning, machine learning, generative AI, or statistics Experience building generative AI applications on AWS using services such as Amazon Bedrock and SageMaker Experience communicating across technical and non-technical audiences, including executive level stakeholders Experience building cloud solutions with AWS Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. The position will remain posted until filled.
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Sr. Deep Learning Architect, Generative AI Innovation Center at Amazon Web Services (AWS). This role focuses on applying Generative AI to solve real-world problems with significant impact. The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. The team includes strategists, scientists, engineers, and architects working with customers to build bespoke generative AI solutions. The team helps customers imagine and scope use cases, define paths to navigate challenges, develop proof-of-concepts, and plan for launching solutions at scale, with guidance on applying generative AI responsibly and cost efficiently. Responsibilities
Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges Interact with customers to understand business problems, aid in implementing generative AI solutions, brief customers, and guide adoption patterns and paths to production Create and deliver best-practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders Provide customer and market feedback to product and engineering teams to help define product direction About the Team / Why AWS
AWS is the world’s most comprehensive and broadly adopted cloud platform. We value diverse experiences and encourage candidates to apply even if not meeting all preferred qualifications. Basic Qualifications
Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) 5+ years of experience designing, building, and/or operating cloud solutions in a production environment 4+ years hosting and deploying ML solutions (training, fine tuning, and inference) 4+ years of hands-on experience with Python to build, train, and evaluate models 4+ years of technical client engagement experience Preferred Qualifications
Masters or PhD in computer science, or related technical, math, or scientific field 3+ years experience working with deep learning, machine learning, generative AI, or statistics Experience building generative AI applications on AWS using services such as Amazon Bedrock and SageMaker Experience communicating across technical and non-technical audiences, including executive level stakeholders Experience building cloud solutions with AWS Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. The position will remain posted until filled.
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