Sr. Solution Architect, Gen AI, Startups
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.
We are searching for technical builders who love working with early‐stage startups to help them grow. In this role, you'll work directly with a variety of customers and help them make the best—and sometimes the most pragmatic—technical decisions along the way. You'll build enduring relationships with these companies and establish yourself as a trusted advisor.
The Startup Solutions Architecture team dedicates itself to working with early‐stage startup companies as they build their businesses. You'll help them deploy the best, most scalable, and most secure architectures possible while keeping time and money to a minimum. You'll also advocate with our product teams to ensure we build the right products for the startups you support and share your knowledge more broadly through technical content and presentations.
Basic Qualifications
* 10+ years of experience in specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)
* 7+ years of design, implementation, or consulting in applications and infrastructures
* 10+ years of IT development or implementation/consulting in the software or Internet industries
* Experience building large‐scale machine learning and AI solutions at Internet scale
Preferred Qualifications
* Experience in IT development or implementation/consulting in the software or Internet industries
* Knowledge of AWS services, market segments, customer base and industry verticals
* Experience in a technical role within a sales organization
* Experience in developing and deploying large‐scale machine learning or deep learning models and/or systems into production, including batch and real‐time data processing
* Hands‐on experience benchmarking and optimizing performance of models on accelerated computing (GPU, TPU, AI ASICs) clusters with high‐speed networking
* Hands‐on experience scaling pre‐training and post‐training foundation models
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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