Amazon Web Services
Technology
DeepLearningArchitect,GenerativeAIInnovationCenter
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Deep Learning Architect, Generative AI Innovation Center at Amazon Web Services. Skills: Machine Learning, Generative AI, Deep Learning, Cloud Solutions. Collaborate with AI/ML scientists and architects. Research generative AI solutions”
Industry & Context.
Solve real world problems; Navigate technical challenges; Navigate business challenges
What They're Looking For.
Must Have
Bachelor of Science degree in Computer Science, 3+ years of experience in designing, building, and/or operating cloud solutions, 2+ year experience hosting and deploying ML solutions, 2+ years of hands on experience with Python, 2+ years of technical client engagement experience
Nice to Have
Masters or PhD degree in computer science, working knowledge of deep learning, working knowledge of machine learning, working knowledge of generative AI, working knowledge of statistics, Experience building generative AI applications on AWS, Experience communicating across technical and non-technical audiences, Experience building cloud solutions with AWS
What You'll Do.
Collaborate with AI/ML scientists and architects
Research generative AI solutions
Design generative AI solutions
Develop generative AI solutions
Evaluate generative AI solutions
Interact with customers directly
Understand customer business problems
Aid customers in implementation
Brief customers on adoption
Guide customers on adoption patterns
Guide customers on paths to production
Create best practice recommendations
Deliver best practice recommendations
Deliver presentations
Provide customer feedback
Provide market feedback
Research new algorithms
Find ways of optimizing risk
Find ways of optimizing profitability
Find ways of optimizing customer experience
How You'll Work.
Team & Collaboration
AI/ML scientists; Architects; Customers; Product teams; Engineering teams
Communication Scope
Executive presentations; Technical presentations
Full Job Description
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. We’re 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. 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 en
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