Senior Deep Learning Architect, Generative AI Innovation Center

Amazon Generative AI (GenAI) Innovation Center (GAIIC) helps AWS customers accelerate enterprise innovation and success with Generative AI. Customers such as Highspot, Lonely Planet, Ryanair, and Twilio are engaging with the GAI Innovation Center to explore developing generative solutions.

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 at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and architects working 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, select and train and fine tune the right models, define paths to navigate technical or business problems, 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 with ML engineers and Data Scientists to innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and build generative AI solutions that accelerate adoption and help partners and customers scale their capabilities.

We’re looking for top hands-on builders with capable of using ML, Generative AI and other techniques to design, evangelize, implement state-of-the-art solutions for never-before-solved business problems.



Key job responsibilities
In this role, you will:
• Use AI/ML tools and relevant AWS services to provide scalable solutions for our customers and partners to rapidly deploy, implement, and achieve business outcome
• Collaborate with our data scientists to create Generative AI solutions for business problems
• Interact with customers and partners directly to understand the business problem, help and aid them in implementation of their AI/ML ecosystem
• Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
• Work closely with account and partner teams, research scientist teams and product engineering teams to drive model implementations

About the team
ABOUT AWS:
 
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, 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.

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. 

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 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
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. - Bachelor's degree
- 7+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 7+ years of IT development or implementation/consulting in the software or Internet industries experience
- Large models pretrain/fine-tuning experience, familiar with distributed training- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Active in the open source community, such as HuggingFace, StableDiffusion, etc

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, protected veteran status, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.