Amazon Web Services (AWS)
Senior Gen AI Strategist, Generative AI Innovation Center, Model Customization
Amazon Web Services (AWS), Denver, Colorado, United States, 80285
Overview
Join to apply for the
Senior Gen AI Strategist, Generative AI Innovation Center, Model Customization
role at
Amazon Web Services (AWS) . AWS is looking for experienced and motivated business-oriented technologists who balance business knowledge, interpersonal skills, and depth in analytics/big data, machine learning and generative artificial intelligence. This role focuses on helping customers enhance business or operational outcomes through advanced and emerging technologies. You will partner with customers, AWS Sales, AWS service teams, AWS industry teams, and AWS Professional Services delivery teams to craft industry-specific programs that serve customer needs and extend that use to other customers within the industry and related industries. You will leverage a programmatic approach to help customers drive business metrics across industry-specific needs, acting as a trusted customer advocate to assess and deliver best practices around program delivery, project approaches, and business measurement. The ability to connect business value to a scalable, repeatable, extensible approach is critical to the Strategist role. Responsibilities
Bring alignment between customer’s technologists and business leads; help them explore the art of the possible with generative AI and machine learning, and develop a roadmap to deliver business value in the most effective way Discuss complex industry-specific business concepts with executives, line managers and technologists Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, industry specialists, partners and regional organizations Drive large, complex sales opportunities from ideation, through vision building and scoping, to closure and into delivery Conduct workshop sessions to identify opportunities with customers to scope how they could deliver business value through the use of generative AI or machine learning Basic Qualifications
Bachelor's degree in computer science, engineering, mathematics or equivalent 5+ years of experience in the industry as a ML practitioner or executive Experience participating in the sales lifecycle (directly or indirectly) Experience in management consulting or related work Experience launching technically complex programs, projects, or related work that include big data, analytics, artificial intelligence, and machine learning Preferred Qualifications
Experience with writing communications such as strategy papers or white papers Participated in the product management and marketing lifecycles (directly or indirectly) Experience presenting to audiences of 5 to 50 people of various levels and backgrounds Passion for educating, training, designing, and building solutions for a diverse and challenging set of customers Advanced degree desired (e.g., MBA, MS) About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate. AWS values diverse experiences and encourages candidates to apply even if they do not meet all preferred qualifications. Work/Life Balance: We value work-life harmony and flexibility in our working culture. Inclusive Team Culture and Mentorship: AWS fosters inclusion and ongoing knowledge-sharing and career growth. AWS Global Services brings together experts to help customers design, build, operate, and secure cloud environments, with services across professional services, training, certification, support, and security assurance. Equal opportunity employer statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Compensation: Our base pay ranges and total compensation considerations vary by geographic market. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Job status: This position will remain posted until filled. Applicants should apply via our internal or external career site. Job ID: A3076318
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Join to apply for the
Senior Gen AI Strategist, Generative AI Innovation Center, Model Customization
role at
Amazon Web Services (AWS) . AWS is looking for experienced and motivated business-oriented technologists who balance business knowledge, interpersonal skills, and depth in analytics/big data, machine learning and generative artificial intelligence. This role focuses on helping customers enhance business or operational outcomes through advanced and emerging technologies. You will partner with customers, AWS Sales, AWS service teams, AWS industry teams, and AWS Professional Services delivery teams to craft industry-specific programs that serve customer needs and extend that use to other customers within the industry and related industries. You will leverage a programmatic approach to help customers drive business metrics across industry-specific needs, acting as a trusted customer advocate to assess and deliver best practices around program delivery, project approaches, and business measurement. The ability to connect business value to a scalable, repeatable, extensible approach is critical to the Strategist role. Responsibilities
Bring alignment between customer’s technologists and business leads; help them explore the art of the possible with generative AI and machine learning, and develop a roadmap to deliver business value in the most effective way Discuss complex industry-specific business concepts with executives, line managers and technologists Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, industry specialists, partners and regional organizations Drive large, complex sales opportunities from ideation, through vision building and scoping, to closure and into delivery Conduct workshop sessions to identify opportunities with customers to scope how they could deliver business value through the use of generative AI or machine learning Basic Qualifications
Bachelor's degree in computer science, engineering, mathematics or equivalent 5+ years of experience in the industry as a ML practitioner or executive Experience participating in the sales lifecycle (directly or indirectly) Experience in management consulting or related work Experience launching technically complex programs, projects, or related work that include big data, analytics, artificial intelligence, and machine learning Preferred Qualifications
Experience with writing communications such as strategy papers or white papers Participated in the product management and marketing lifecycles (directly or indirectly) Experience presenting to audiences of 5 to 50 people of various levels and backgrounds Passion for educating, training, designing, and building solutions for a diverse and challenging set of customers Advanced degree desired (e.g., MBA, MS) About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate. AWS values diverse experiences and encourages candidates to apply even if they do not meet all preferred qualifications. Work/Life Balance: We value work-life harmony and flexibility in our working culture. Inclusive Team Culture and Mentorship: AWS fosters inclusion and ongoing knowledge-sharing and career growth. AWS Global Services brings together experts to help customers design, build, operate, and secure cloud environments, with services across professional services, training, certification, support, and security assurance. Equal opportunity employer statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Compensation: Our base pay ranges and total compensation considerations vary by geographic market. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Job status: This position will remain posted until filled. Applicants should apply via our internal or external career site. Job ID: A3076318
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