AI Strategist, Generative AI Innovation Center

Amazon Amazon · Big Tech · Courbevoie, France · Machine Learning Science

This role is for an AI Strategist within AWS's Generative AI Innovation Center. The primary focus is on supporting customers in enhancing their business or operational outcomes using advanced technologies like machine learning and generative AI. The strategist will partner with various AWS teams and customers to craft industry-specific programs, develop roadmaps, and ensure customer success in ideating and deploying AI solutions. The role requires a blend of business acumen, interpersonal skills, and technological understanding, with a strong emphasis on connecting business value to scalable and repeatable approaches. While the role involves discussing and guiding customers on AI/ML technologies, it does not involve direct development or shipping of AI models or agents, but rather focuses on strategy, program development, and customer enablement for AI adoption.

What you'd actually do

  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

Skills

Required

  • 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
  • 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

Nice to have

  • 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 the

What the JD emphasized

  • connect business value to a scalable, repeatable, extensible approach is critical
  • drive generative AI or machine learning more holistically within their operation
  • securely scaling generative AI use cases