Deep Learning Architect, AWS Generative AI Innovation Center

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 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.

As a Deep Learning Architect, you'll 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 fast-paced organization that contributes to game-changing projects and technologies.

We’re looking for engineers and architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Emirati national is required.

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

Key job responsibilities

1. Collaborate with ML scientists and engineers to research, design, and develop cutting-edge generative AI algorithms to address real-world challenges.
2. Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership.
3. Interact with customers directly to understand business problems, assist in implementing generative AI solutions, deliver briefings and deep dive sessions, and guide customer on adoption patterns and productionization paths for generative AI.
4. Create and deliver reusable technical assets that help accelerate the adoption of generative AI on AWS platform.
5. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations tailored to technical, business, and executive stakeholders.
6. 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 fast-paced organization that contributes to game-changing projects and technologies deployed on devices and in the cloud. As a Data Science Manager in GenAIIC, you'll 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, delivering state-of-the-art solutions to customer’s business and mission problems.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed, 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 continue to innovate — 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.

Inclusive Team Culture

At AWS, learning and curiosity are in our nature. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to embrace our uniqueness.

Mentorship & Career Growth

We’re committed to raising our performance standards and becoming Earth’s Best Employer. We offer endless knowledge-sharing, mentorship, and career-advancing resources to help you develop into a well-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should not come at the expense of personal life, which is why we promote flexibility. When supported at work and home, there’s nothing we can’t achieve in the cloud.

Minimum qualifications

• Bachelor’s degree in computer science, engineering, mathematics, or equivalent
• Experience in designing, implementing, or consulting on applications and infrastructures
• Experience architecting or deploying Cloud/Virtualization solutions in enterprise contexts
• Proven knowledge of deep learning and experience hosting and deploying ML solutions (training, tuning, inference)

Preferred qualifications

• MSc degree in computer science, engineering, mathematics, or equivalent
• Proven knowledge of Generative AI and hands-on experience with large foundation models
• Proven knowledge of AWS platform and tools
• Hands-on experience building ML solutions on AWS
• Experience in professional software development
• Scientific thinking, invention ability, and a track record of thought leadership advancing the field

Our inclusive culture empowers Amazonians to deliver the best results. If you need a workplace accommodation or adjustment during the application or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If your location isn’t listed, please contact your Recruiting Partner.