Generative AI Strategist, Generative AI Innovation Center

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 some technological depth in the following areas: analytics/big data machine learning generative and agentic artificial intelligence. This role will focus on supporting customers looking to enhance their business or operational outcomes through the use of 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 will serve the needs of the customer 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 a set of 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 customers technologists and business leads; help them to explore the art of the possible with generative AI and machine learning and to 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 our customers to scope how they could deliver business value through the use of generative AI or machine learning



About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

- Bachelors degree or 7 years of professional or military experience
- 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 the following: big data analytics artificial intelligence and machine learning

- Executive communication and written skills
- Participated in the product or solutions 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 designing and building solutions for a diverse and challenging set of customers ranging from midsized organizations to Fortune 100 customers
- Advanced degree desired (e.g. PhD MBA MSc or MA)

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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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