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.


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
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
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
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
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)
Author or otherwise contribute to AWS customer-facing publications such as whitepapers
Build deep relationships with senior individuals within customers to enable them to be advocates of the industry and advanced technology solutions
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

Act as a business liaison between customers services technologists and support
Make meaningful contributions to deep business discussions


About the team
Generative AI Innovation Center

What is it

A program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to:

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

Who is this for

Organizations looking for guidance selecting and experimenting with generative AI use cases.
Organizations looking for guidance planning executing and securely scaling generative AI use cases.

Why work with the Generative AI Innovation Center

Identify achievable use cases for generative AI based on your business priorities.
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.
Hands-on help developing solutions mapped to requirements scaling into production and collaborating closely with stakeholders to share knowledge.

Bachelors degree or experience in a professional field or military
- Experience in cloud based solution (AWS or equivalent) system network and operating system
- Experience in external or internal customer facing complex and large scale project management
- Bachelors degree or several years of professional or military experience
- Several years of technical specialist design and architecture experience
- Several years of database (eg. SQL NoSQL Hadoop Spark Kafka Kinesis) experience
- Several years of consulting design and implementation of serverless distributed solutions experience
- Several years of software development with object oriented language experience
- Several years of cloud and on-premise integration experience
- Several years of integration testing and automation experience
- Several years of continuous integration and continuous delivery (CI/CD) experience
- Several years of cloud based solution (AWS or equivalent) system network and operating system 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.
- High level of comfort communicating effectively across internal and external organizations.
- 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.

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