Sr. Solution Architect, Gen AI, StartupsSales, 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. 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. To address underserved customers, or to challenge incumbents. They usually operate in an environment of scarcity: whether that's capital, engineering resource, or experience. This is where you come in. The Startup Solutions Architecture team is dedicated to working with these early stage startup companies as they build their businesses. We're here to make sure that they can deploy the best, most scalable, and most secure architectures possible – and that they spend as little time and money as possible doing so. We are looking for technical builders who love the idea of working with early stage startups to help them as they grow. In this role, you'll work directly with a variety of interesting customers and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You'll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor. As well as spending time working directly with customers, you'll also get plenty of time to "sharpen the saw" and keep your skills fresh. We have more than 175 services across a range of different categories and it's important that we can help startups take advantages of the right ones. You'll also play an important role as an advocate with our product teams to make sure we are building the right products for the startups you work with. And for the customers you don't get to work with on a 1:1 basis you'll get the chance to share your knowledge more broadly by working on technical content and presenting at events.Basic Qualifications
10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience7+ years of design, implementation, or consulting in applications and infrastructures experience10+ years of IT development or implementation/consulting in the software or Internet industries experienceExperience 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 industriesKnowledge of AWS services, market segments, customer base and industry verticalsExperience in a technical role within a sales organizationExperience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processingExperience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processingHands-on experience benchmarking and optimizing performance of models on accelerated computing (GPU, TPU, AI ASICs) clusters with high-speed networkingHands-on experience scaling pre-training and post-training foundation models
Posted: March 24, 2026 (Updated 3 days ago)Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.#J-18808-Ljbffr