Sr Deep Learning Architect GenAI Innovation Center

Are you looking to work at the forefront of Machine Learning and AI Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists scientists engineers and architects working stepbystep with customers to build bespoke solutions that harness the power of generative AI.

The team helps customers imagine and scope the use cases that will create the greatest value for their businesses define paths to navigate technical or business challenges develop proofofconcepts and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.

You will work directly with customers and innovate in a fastpaced organization that contributes to gamechanging projects and technologies. You will design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience.

Were looking for top architects system and software engineers capable of using ML Generative AI and other techniques to design evangelize implement and fine tune stateoftheart solutions for neverbeforesolved problems.



Key job responsibilities
Collaborate with AI/ML scientists and architects to research design develop and evaluate generative AI solutions to address realworld challenges
Interact with customers directly to understand their business problems aid them in implementation of generative AI solutions brief customers and guide them on adoption patterns and paths to production
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
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.

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.

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 and 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.

Bachelor of Science degree in Computer Science or related technical math or scientific field (or equivalent experience)
5 years of experience in designing building and/or operating cloud solutions in a production environment
4 year experience hosting and deploying ML solutions (e.g. for training fine tuning and inference)
4 years of hands on experience with Python to build train and evaluate models
4 years of technical client engagement experience

Masters or PhD degree in computer science or related technical math or scientific field
3 years experience working with deep learning machine learning generative AI or statistics
Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
Experience communicating across technical and nontechnical audiences including executive level stakeholders or clients
Experience building cloud solutions with AWS

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation disability age or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.