Amazon
Deep Learning Architect, Generative AI Innovation Center
Amazon, Arlington, Virginia, United States, 22201
Deep Learning Architect, Generative AI Innovation Center
Job ID: 3016022 | Amazon Web Services, Inc. Are you looking to work at the forefront of Machine Learning and AI? This role is with the Generative AI Innovation Center, which helps AWS customers implement Generative AI solutions and realize transformational business opportunities. The team of strategists, scientists, engineers, and architects works with customers to build bespoke solutions that harness the power of generative AI, imagine and scope high-value use cases, define paths to navigate challenges, develop proofs-of-concept, and plan for launching solutions at scale. The team provides guidance on responsible and cost-efficient use of generative AI. You will work directly with customers, design and run experiments, research new algorithms, and identify new ways to optimize risk, profitability, and customer experience. We are seeking top architects, system and software engineers capable of using ML, Generative AI and related techniques to design, evangelize, implement, and tune state-of-the-art solutions for challenging problems. Key job 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 directly to understand their business problems, aid in the implementation of generative AI solutions, brief customers, and guide adoption patterns and production paths 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
ABOUT AWS: Diverse Experiences. We encourage candidates to apply even if they do not meet all preferred qualifications. If your career is just starting or follows a non-traditional path, apply anyway. Why AWS: Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, trusted by startups to Global 500 companies to power their businesses. Work/Life Balance: We value work-life harmony and strive for flexibility as part of our culture, supporting success at work and at home. Inclusive Team Culture: AWS promotes inclusion through employee-led and company-sponsored affinity groups, with events that foster collaboration and diverse perspectives. Mentorship and Career Growth: We aim to raise performance and provide knowledge-sharing, mentorship, and career development resources. AWS Global Services: Our team helps customers design, build, operate, and secure their cloud environments, including Professional Services, Training and Certification, Support, and Security Assurance Services. You’ll join a diverse team of technical experts in many countries to help customers achieve more with AWS. BASIC QUALIFICATIONS
Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) 3+ years of experience designing, building, and/or operating cloud solutions in a production environment 2+ years hosting and deploying ML solutions (training, fine-tuning, inference) 2+ years of hands-on experience with Python to build, train, and evaluate models 2+ years of technical client engagement experience PREFERRED QUALIFICATIONS
Masters or PhD in computer science or related field Strong working knowledge of deep learning, machine learning, generative AI, and statistics Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker Experience communicating across technical and non-technical audiences, including executive 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. Los Angeles County applicants: Job duties include working safely, communicating effectively, and following laws and policies. Pursuant to the Los Angeles County Fair Chance Ordinance, we consider qualified applicants with arrest and conviction records. Our inclusive culture supports accommodations during the application and hiring process; for more information, visit https://amazon.jobs/content/en/how-we-hire/accommodations. Our compensation reflects the cost of labor across US geographic markets. The base pay ranges from $118,200/year to $204,300/year, with additional compensation and benefits as applicable. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Job ID: 3016022 | Amazon Web Services, Inc. Are you looking to work at the forefront of Machine Learning and AI? This role is with the Generative AI Innovation Center, which helps AWS customers implement Generative AI solutions and realize transformational business opportunities. The team of strategists, scientists, engineers, and architects works with customers to build bespoke solutions that harness the power of generative AI, imagine and scope high-value use cases, define paths to navigate challenges, develop proofs-of-concept, and plan for launching solutions at scale. The team provides guidance on responsible and cost-efficient use of generative AI. You will work directly with customers, design and run experiments, research new algorithms, and identify new ways to optimize risk, profitability, and customer experience. We are seeking top architects, system and software engineers capable of using ML, Generative AI and related techniques to design, evangelize, implement, and tune state-of-the-art solutions for challenging problems. Key job 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 directly to understand their business problems, aid in the implementation of generative AI solutions, brief customers, and guide adoption patterns and production paths 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
ABOUT AWS: Diverse Experiences. We encourage candidates to apply even if they do not meet all preferred qualifications. If your career is just starting or follows a non-traditional path, apply anyway. Why AWS: Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, trusted by startups to Global 500 companies to power their businesses. Work/Life Balance: We value work-life harmony and strive for flexibility as part of our culture, supporting success at work and at home. Inclusive Team Culture: AWS promotes inclusion through employee-led and company-sponsored affinity groups, with events that foster collaboration and diverse perspectives. Mentorship and Career Growth: We aim to raise performance and provide knowledge-sharing, mentorship, and career development resources. AWS Global Services: Our team helps customers design, build, operate, and secure their cloud environments, including Professional Services, Training and Certification, Support, and Security Assurance Services. You’ll join a diverse team of technical experts in many countries to help customers achieve more with AWS. BASIC QUALIFICATIONS
Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) 3+ years of experience designing, building, and/or operating cloud solutions in a production environment 2+ years hosting and deploying ML solutions (training, fine-tuning, inference) 2+ years of hands-on experience with Python to build, train, and evaluate models 2+ years of technical client engagement experience PREFERRED QUALIFICATIONS
Masters or PhD in computer science or related field Strong working knowledge of deep learning, machine learning, generative AI, and statistics Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker Experience communicating across technical and non-technical audiences, including executive 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. Los Angeles County applicants: Job duties include working safely, communicating effectively, and following laws and policies. Pursuant to the Los Angeles County Fair Chance Ordinance, we consider qualified applicants with arrest and conviction records. Our inclusive culture supports accommodations during the application and hiring process; for more information, visit https://amazon.jobs/content/en/how-we-hire/accommodations. Our compensation reflects the cost of labor across US geographic markets. The base pay ranges from $118,200/year to $204,300/year, with additional compensation and benefits as applicable. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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