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Sr GenAI Strategist, Generative AI Innovation Center

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Amazon
Full Time position
Listed on 2026-05-08
Job specializations:
  • IT/Tech
    Data Analyst, Cloud Computing, Data Science Manager, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Overview

Amazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists who possess a balance of 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 meet customer needs and extend adoption within the industry and related sectors. You will apply a programmatic approach to help customers drive 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 efficiently
  • 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, scoping, closure and delivery
  • Conduct workshop sessions to identify opportunities and scope how customers could deliver business value using generative AI or machine learning
About the team

Diverse Experiences

AWS values diverse experiences. If you do not meet all preferred qualifications, we encourage you to apply. 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. Customers range from startups to Global 500 companies rely on our robust suite of products and services.

Inclusive Team Culture

AWS values curiosity and connection. Our affinity groups promote inclusion and empower our people. Our inclusion events foster stronger, more collaborative teams, and our continued innovation is fueled by bold ideas and diverse perspectives.

Mentorship & Career Growth

We strive to become Earth’s Best Employer, with knowledge-sharing, mentorship and career-advancing resources to help you develop into a well-rounded professional.

Work/Life Balance

We value work-life harmony and strive for flexibility to support employees in and out of the workplace.

Qualifications

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 related industry
  • Experience launching technical programs involving big data, analytics, artificial intelligence, and machine learning

Preferred Qualifications

  • Experience presenting complex ideas in writing (white papers, proposals, or formal strategy documents)
  • Master’s degree or above in Management, Business Administration, Economics, Engineering, or Marketing
  • Participated in product management and marketing life cycles (directly or indirectly)
  • Experience presenting to audiences of 5 to 50 people across roles and backgrounds
  • Passion for educating, training, designing, and building solutions for a diverse and challenging set of customers

AWS is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Note:

Local laws may require accommodations during the application process. If accessibility or accommodation is needed, please refer to AWS hiring resources for more information and connect with your Recruiting Partner.

Salary and benefits:
The base salary range is provided with final compensation based on experience and location, along with sign-on payments, stock units, and comprehensive benefits (health, retirement plans, paid time off, parental leave, and more). For more details, refer to AWS benefits information.

USA, CA, Mountain View –  –  USD annually

USA, NY, New York –  –  USD annually

USA, TX, Austin –  –  USD annually

USA, WA, Seattle –  –  USD annually

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