Amazon
Sr Deep Learning Architect, Generative AI Innovation Center
Amazon, Arlington, Virginia, United States, 22201
Sr Deep Learning Architect, Generative AI Innovation Center
Job ID: 3079120 | Amazon Web Services, Inc. Overview: The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers, design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for top architects, system and software engineers capable of using ML, Generative AI, and other techniques to design, evangelize, implement, and fine-tune state-of-the-art solutions for never-before-solved problems. Note:
The original description includes additional team and company context. This refined version preserves the core responsibilities and qualifications while removing extraneous boilerplate. Key job responsibilities
Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate leading generative AI solutions to address real-world challenges Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on 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
ABOUT AWS: Diverse Experiences — Amazon values diverse experiences and encourages candidates to apply even if you do not meet all preferred qualifications. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. 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. Work/Life Balance — We value work-life harmony and strive for flexibility as part of our working culture. When supported, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture — AWS values curiosity and connection. Our affinity groups promote inclusion and empower our people to take pride in what makes us unique. Inclusion events foster stronger, more collaborative teams. Our continued innovation is fueled by bold ideas and diverse perspectives. Mentorship and Career Growth — We strive to raise our performance bar and provide knowledge-sharing, mentorship, and career development resources. AWS Global Services — Our teams help customers design, build, operate, and secure cloud environments, leveraging services across AWS Professional Services, Training and Certification, Support, Managed Services, and Security Assurance Services. You’ll join a diverse team of technical experts in many countries helping customers achieve more with the AWS cloud. BASIC QUALIFICATIONS
Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) 5+ years experience in designing, building, and/or operating cloud solutions in a production environment 4+ years experience hosting and deploying ML solutions (e.g., for training, fine-tuning, and inference) 4+ years hands-on experience with Python to build, train, and evaluate models 4+ years technical client engagement experience PREFERRED QUALIFICATIONS
Masters or PhD degree 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 Amazon SageMaker Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients 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. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. Important FAQs for current Government employees Before proceeding, please review the following FAQs https://www.amazon.jobs/en/faqs#faqs-for-us-government-employees Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Job ID: 3079120 | Amazon Web Services, Inc. Overview: The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers, design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for top architects, system and software engineers capable of using ML, Generative AI, and other techniques to design, evangelize, implement, and fine-tune state-of-the-art solutions for never-before-solved problems. Note:
The original description includes additional team and company context. This refined version preserves the core responsibilities and qualifications while removing extraneous boilerplate. Key job responsibilities
Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate leading generative AI solutions to address real-world challenges Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on 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
ABOUT AWS: Diverse Experiences — Amazon values diverse experiences and encourages candidates to apply even if you do not meet all preferred qualifications. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. 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. Work/Life Balance — We value work-life harmony and strive for flexibility as part of our working culture. When supported, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture — AWS values curiosity and connection. Our affinity groups promote inclusion and empower our people to take pride in what makes us unique. Inclusion events foster stronger, more collaborative teams. Our continued innovation is fueled by bold ideas and diverse perspectives. Mentorship and Career Growth — We strive to raise our performance bar and provide knowledge-sharing, mentorship, and career development resources. AWS Global Services — Our teams help customers design, build, operate, and secure cloud environments, leveraging services across AWS Professional Services, Training and Certification, Support, Managed Services, and Security Assurance Services. You’ll join a diverse team of technical experts in many countries helping customers achieve more with the AWS cloud. BASIC QUALIFICATIONS
Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) 5+ years experience in designing, building, and/or operating cloud solutions in a production environment 4+ years experience hosting and deploying ML solutions (e.g., for training, fine-tuning, and inference) 4+ years hands-on experience with Python to build, train, and evaluate models 4+ years technical client engagement experience PREFERRED QUALIFICATIONS
Masters or PhD degree 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 Amazon SageMaker Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients 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. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. Important FAQs for current Government employees Before proceeding, please review the following FAQs https://www.amazon.jobs/en/faqs#faqs-for-us-government-employees Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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