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 and generative 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.

Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to:

1. Imagine new applications of generative AI to address your needs.
2. Identify new use cases based on business value.
3. Integrate Generative AI into your existing applications and workflows.

Why work with the Generative AI Innovation Center?

1. Identify achievable use cases for generative AI based on your business priorities.
2. Receive expert guidance to prioritize use cases, estimate business value, assess feasibility and blockers, and define a clear path to success while employing best practices.
3. Hands-on help developing solutions mapped to requirements, scaling into production, and collaborating closely with stakeholders to share knowledge.

Key job responsibilities

1. Bring alignment between customer's 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.
2. Discuss complex industry-specific business concepts with executives, line managers and technologists.
3. Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, industry specialists, partners and regional organizations.
4. Drive large, complex sales opportunities from ideation, through vision building and scoping, all the way to closure and into delivery.
5. Ensure customer success in ideating and deploying proof of concept projects on the AWS platform, and enable them to move forward in learning from the PoC project to deliver production solutions.
6. Educate customers on the value proposition of AWS and participate in deep business discussions to ensure solutions are designed to capture business value and drive the intended success metrics.
7. 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.
8. Capture and operationalize best-practice knowledge for enterprises that wish to drive generative AI or machine learning more holistically within their operation (e.g., deploying a customer center of excellence).
9. Author or otherwise contribute to AWS customer-facing publications such as whitepapers.
10. Build deep relationships with senior individuals within customers to enable them to be advocates of the industry and advanced technology solutions.
11. Effectively evangelize and enable various AWS teams to work collaboratively with the Generative AI Innovation Center, including solutions architects, business development, marketing, industry specialists, delivery teams, partners and regional organizations.
12. Act as a business liaison between customers, services, technologists and support.
13. Make meaningful contributions to deep business discussions.

About the team

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, 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 never stopped innovating - that's 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, it's 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: We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll 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, there's nothing we can't achieve in the cloud.

• Bachelor's degree, or several years of professional or military experience.
• Several years of consulting, design and implementation of serverless distributed solutions experience.
• Several years of cloud and on-premise integration experience.
• Several years of continuous integration and continuous delivery (CI/CD) experience.
• Several years of external or internal customer facing, complex and large scale project management experience.

• Strong organizational skills with an ability to manage numerous demands from internal / external stakeholders and Customers.
• Ability to collaborate with global/enterprise account sales and delivery teams to drive adoption of AI/ML Solutions into top accounts.
• Experience and passion for designing and developing innovative AI/ML solutions that leverage natural language processing, computer vision, statistical learning theory.
• Ability to communicate complex topics to an audience with various functional knowledge, i.e. presentation skills with a high degree of comfort with both large and small audiences.
• Ability to think strategically about business, product, and technical problems and develop strategic, baseline, data modeling processes; ability to accurately identify cause-and-effect relationships.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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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.