Jobs · Research · New York

Sr GenAI Strategist, Generative AI Innovation Center

Amazon Web Services (AWS) · New York, United States · Yesterday
ResearchFull-time

About the role

Amazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and technological depth in analytics/big data, machine learning, and generative artificial intelligence. This role focuses on supporting customers looking to enhance their 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 and refine a programmatic approach to help customers drive their business metrics across industry-specific needs. As a trusted customer advocate, the Generative AI Strategist will 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.

Key job 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, all the way 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

  • 7+ years of cloud architecture and solution implementation experience
  • Bachelor's degree in computer science, engineering, mathematics, or equivalent
  • 6+ years of scientists or machine learning engineers management experience
  • Experience working in or supporting sales
  • Experience in management consulting, strategy, technology, venture capital, or a related industry
  • Experience launching technical programs, projects, or related work that include big data, analytics, artificial intelligence, and machine learning

Preferred Qualifications

  • Experience presenting complex ideas in writing in the form of authoring white papers, proposals, or other formal strategy documents
  • Master's degree or above in Management, Business Administration, Economics, Engineering, or Marketing
  • Participated in the product management and marketing lifecycles (directly or indirectly)
  • Experience with presenting to audiences of 5 to 50 people of various levels (developers to executives) and backgrounds (business, technical, operations)
  • Passion for educating, training, designing, and building solutions for a diverse and challenging set of customers ranging from midsized organizations to Fortune 100 customers

Pay

  • USA, CA, Mountain View: $176,600.00 - $239,000.00 USD annually
  • USA, NY, New York: $169,000.00 - $228,600.00 USD annually
  • USA, TX, Austin: $153,600.00 - $207,800.00 USD annually
  • USA, WA, Seattle: $153,600.00 - $207,800.00 USD annually

Benefits

Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Learn more about our benefits at https://amazon.jobs/en/benefits.

This response is AI-generated, for reference only.

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