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 partnering with customers 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 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
- 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 organisations
- 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
A day in the life
This is a customer facing role. You will be required to travel to client locations and deliver professional services as needed.
About the team
The Generative AI Innovation Center will guide customers in figuring out what business needs Generative AI can address, identify and prioritize new use cases based on business value, and implement innovative and practical solutions along with steps to scale. Based on our customers maturity with Generative AI, the Generative AI Innovation Center will provide custom demos and proofs-of-concepts. When customers are ready to deploy solutions into production or need help in a sustained manner, the Generative AI Innovation Center will transition work to ProServe teams or to a partner. With the combined power of resources, technical expertise, and industry knowledge, we can help our customers accelerate their time to value with AI.
About AWS
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, 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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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.
Basic qualifications
- Bachelor's degree, or 7+ years of work experience
- 5+ years of scientists or machine learning engineers management experience
- Experience working in or supporting sales
- Experience in management consulting, strategy, technology, venture capital, or a related industry
- Experience launching technically complex programs, projects, or related work that include the following: big data, analytics, artificial intelligence, and machine learning
Preferred qualifications
- Experience producing executive-level written materials and presenting to executive audiences
- Experience effectively communicating complex concepts through written and verbal communication
- Experience presenting to both technical and non-technical executive audiences
- 3+ years of IT and/or Management Consulting Services, or 5+ years of management experience
- Advanced degree, or MBA
