Deep Learning Architect AWS Generative AI Innovation Center

The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a crossfunctional team of ML scientists engineers architects and strategists working stepbystep with customers to build bespoke solutions that harness the power of generative AI.

As a Deep Learning Architect youll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fastpaced organization that contributes to gamechanging projects and technologies.

Were looking for Engineers and Architects capable of using generative AI and other ML techniques to design evangelize and implement stateoftheart solutions for neverbeforesolved problems.

AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small and midmarket accounts to enterpriselevel customers including public sector. The AWS Global Support team interacts with leading companies and believes that worldclass support is critical to customer success. AWS Support also partners with a global list of customers that are building missioncritical applications on top of AWS services.

Key job responsibilities
Collaborate with ML scientist and engineers to research design and develop cuttingedge generative AI algorithms to address realworld 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 help and aid them in implementation of generative AI solutions deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and productionization paths for generative AI
Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform
Create and deliver best practice recommendations tutorials blog posts sample code and presentations adapted to technical business and executive stakeholder
Provide customer and market feedback to Product and Engineering teams to help define product direction

About the team
GenAIIC provides opportunities to innovate in a fastpaced organization that contributes to gamechanging projects and technologies that get deployed on devices and in the cloud. As a Data Science Manager in GenAIIC youll partner with technology and business teams to build new generative AI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists deep learning architects and ML engineers to build generative AI models and pipelines and deliver stateoftheart solutions to customers business and mission problems.

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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 its in our nature to learn and be curious. Our employeeled 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.

Work/Life Balance
We value worklife 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 theres nothing we cant achieve in the cloud.

Bachelors degree in computer science engineering mathematics or equivalent
Experience in design implementation or consulting in applications and infrastructures
Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers
Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g. for training tuning and inferences)
Scientific thinking and the ability to invent a track record of thought leadership and contributions that have advanced the field

MSc degree in computer science engineering mathematics or equivalent
Proven knowledge of Generative AI and handson experience of building applications with large foundation models
Proven knowledge of AWS platform and tools
Handson experience of building ML solutions on AWS
Experience in professional software development

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