Job Responsibilities:
Collaborate with ML scientists and engineers to research, design, and develop cutting-edge generative AI algorithms to address real-world challenges.
Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership.
Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, and deliver briefing and deep dive sessions to guide customers on adoption patterns and paths for generative AI.
Create and deliver reusable technical assets that help accelerate the adoption of generative AI on the AWS platform.
Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
Provide customer and market feedback to Product and Engineering teams to help define product direction.
Minimum Qualifications:
Several years of experience in design, implementation, or consulting in applications and infrastructures.
Bachelor’s degree in computer science, engineering, mathematics, or equivalent, or experience in a professional field or military.
Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers.
Experience communicating across technical and non-technical audiences, including executive-level stakeholders or clients.
Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences).
About the Team:
The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
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.
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.
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 empowers us to be proud of our differences.
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.
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