Solution Architect, Frontier AI, Startups
Summary
Designs and advises startups on scalable, secure cloud and generative AI solutions, leveraging AWS technologies to solve complex technical challenges.
About
Do you like startups? Are you interested in Cloud Computing & Generative AI? Yes? We have a role you might find interesting. Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and to challenge the status quo. The Startup Solutions Architecture team is dedicated to working with these early stage startup companies as they build their businesses.
Responsibilities
• Work with customers to architect solutions to difficult technical problems where the business objective is defined but the solution design is not.
• Understand customers' business context and deliver secure, scalable, reliable, and performant solutions.
• Serve as a trusted technical advisor, helping customers identify opportunities and risks in their technical decisions.
• Own end-to-end solution design, leveraging existing patterns where appropriate and creating reusable designs when needed.
• Collaborate with internal teams (sales, BD, professional services, engineering) to drive customer success.
• Develop and deliver technical content. Mentor peers, participate in design reviews, and contribute to team best practices.
Requirements
• 4+ years of design, implementation, or consulting in applications and infrastructures experience
• 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 6+ years of IT development or implementation/consulting in the software or Internet industries experience
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in developing and deploying LLMs on GPUs, Neuron, TPU or other AI acceleration hardware
Preferred
• Experience working within software development or Internet-related industries
• Experience working with AWS technologies from a dev/ops perspective
• Experience in technology/software sales, pre-sales, or consulting
• 1+ years of building machine learning models or developing algorithms for business application experience
• Bachelor's degree in machine learning or equivalent
Benefits
자세한 사항은 홈페이지 참조