Sr. Deep Learning Architect, Generative AI 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 step-by-step 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 proof-of-concepts 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 fast-paced organization that contributes to game-changing 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 state-of-the-art solutions for never-before-solved problems.


Key job responsibilities
As a Deep Learning Architect you will
Collaborate with AI/ML scientists and architects to research design develop and evaluate generative AI solutions to address real-world 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
ABOUT AWS:

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- Bachelors degree in computer science engineering mathematics or equivalent
- 5 years of experience in designing building and/or operating cloud solutions in a production environment
- 4 years 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 non-technical audiences including executive level stakeholders or clients
- Experience building cloud solutions with AWS

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138200/year in our lowest geographic market up to $239000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.