Deep Learning Architect, AWS Generative AI InnovationCenter The Generative AI Innovation Center at AWS helps AWScustomers accelerate the use of Generative AI and realizetransformational business opportunities. This is a cross-functionalteam of ML scientists, engineers, architects, and strategistsworking step-by-step with customers to build bespoke solutions thatharness the power of generative AI. As a Deep Learning Architect,youll partner with technology and business teams to build solutionsthat surprise and delight our customers. You will work directlywith customers and innovate in a fast-paced organization thatcontributes to game-changing projects and technologies. We’relooking for Engineers and Architects capable of using generative AIand other ML techniques to design, evangelize, and implementstate-of-the-art solutions for never-before-solved problems.Emirati national is required. AWS Sales, Marketing, and GlobalServices (SMGS) is responsible for driving revenue, adoption, andgrowth from the largest and fastest growing small- and mid-marketaccounts to enterprise-level customers including public sector. TheAWS Global Support team interacts with leading companies andbelieves that world-class support is critical to customer success.AWS Support also partners with a global list of customers that arebuilding mission-critical applications on top of AWS services. Keyjob responsibilities 1. Collaborate with ML scientists andengineers to research, design, and develop cutting-edge generativeAI algorithms to address real-world challenges. 2. Work acrosscustomer engagement to understand what adoption patterns forgenerative AI are working and rapidly share them across teams andleadership. 3. Interact with customers directly to understand thebusiness problem, help and aid them in implementation of generativeAI solutions, deliver briefing and deep dive sessions to customersand guide customers on adoption patterns and productionizationpaths for generative AI. 4. Create and deliver reusable technicalassets that help to accelerate the adoption of generative AI on AWSplatform. 5. Create and deliver best practice recommendations,tutorials, blog posts, sample code, and presentations adapted totechnical, business, and executive stakeholders. 6. Providecustomer and market feedback to Product and Engineering teams tohelp define product direction. About the team GenAIIC providesopportunities to innovate in a fast-paced organization thatcontributes to game-changing projects and technologies that getdeployed on devices and in the cloud. As a Data Science Manager inGenAIIC, youll partner with technology and business teams to buildnew generative AI solutions that delight our customers. You will beresponsible for directing a team of data/research/appliedscientists, deep learning architects, and ML engineers to buildgenerative AI models and pipelines, and deliver state-of-the-artsolutions to customer’s business and mission problems. DiverseExperiences AWS values diverse experiences. Even if you do not meetall of the 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 alternativeexperiences, don’t let it stop you from applying. Why AWS? AmazonWeb Services (AWS) is the world’s most comprehensive and broadlyadopted cloud platform. We pioneered cloud computing and neverstopped innovating — that’s why customers from the most successfulstartups to Global 500 companies trust our robust suite of productsand services to power their businesses. Inclusive Team Culture Hereat AWS, it’s in our nature to learn and be curious. Ouremployee-led affinity groups foster a culture of inclusion thatempowers us to be proud of our differences. Ongoing events andlearning experiences, including our Conversations on Race andEthnicity (CORE) and AmazeCon (gender diversity) conferences,inspire us to never stop embracing our uniqueness. Mentorship &Career Growth We’re continuously raising our performance bar as westrive to become Earth’s Best Employer. That’s why you’ll findendless knowledge-sharing, mentorship, and other career-advancingresources here to help you develop into a better-roundedprofessional. Work/Life Balance We value work-life harmony.Achieving success at work should never come at the expense ofsacrifices at home, which is why we strive for flexibility as partof our working culture. When we feel supported in the workplace andat home, there’s nothing we can’t achieve in the cloud. MinimumRequirements 1. Bachelor’s degree in computer science, engineering,mathematics or equivalent. 2. Experience in design, implementation,or consulting in applications and infrastructures. 3. Experiencearchitecting or deploying Cloud/Virtualization solutions inenterprise customers. 4. Proven knowledge of deep learning andexperience hosting and deploying ML solutions (e.g., for training,tuning, and inferences). 5. MSc degree in computer science,engineering, mathematics or equivalent. 6. Proven knowledge ofGenerative AI and hands-on experience of building applications withlarge foundation models. 7. Proven knowledge of AWS platform andtools. 8. Hands-on experience of building ML solutions on AWS. 9.Experience in professional software development. 10. Scientificthinking and the ability to invent, a track record of thoughtleadership and contributions that have advanced the field.J-18808-Ljbffr
