Senior Solutions Architect, Generative AI, Startups, AWS

Senior Solutions Architect, Generative AI, Startups, AWS

Join to apply for the Senior Solutions Architect, Generative AI, Startups, AWS role at Amazon Web Services (AWS)

Description 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. Trusted by more startups around the world, AWS makes the power of cloud computing accessible for all by giving founders everywhere access to the same technology that powers the world’s largest companies. With nearly 20 years of experience gained from supporting hundreds of thousands of startups that have come before, we help founders prove that their world‑changing ideas are possible, at any stage of growth or level of funding. This is why more startups, and over 80% of unicorns, build on AWS. Startup Solutions Architects work hand in hand with AWS customers to help them make the most of the Cloud. They are at the crossroads of business and technology and engage with startups of different stages. Supporting the overall technical relationship between customers and AWS, they work to understand the customer’s business needs and give prescriptive guidance on how to create business value with technology. Solutions Architects also have broader impact at scale, taking a supporting role in creating and presenting technical content and best practices.

Key job responsibilities

• As a Solutions Architect, you will work directly with customers to accelerate their challenging projects and recommend best‑practice architectures in line with their long‑term business outcomes.
• You operate as a trusted advisor for startups. The best interests of the customer will shape the guidance you provide. You work backwards from their priorities and find inventive ways to add value with solutions utilizing AWS and its Partners’ technology.
• You capture and share the voice of the customer to influence the roadmap of new features and services for AWS. You use your customer understanding to participate in the creation or updates of technical content and reference architectures (e.g. white papers, code samples, blog posts).
• Evangelize and educate about AWS technology (e.g. workshops, user groups, meetups, public speaking, online videos or conferences).

Qualifications

• Experience with building, validating and deploying GenAI models and applications on cloud infrastructure.
• Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet.
• Knowledge of MLOps tools and workflows for model development, validation, and deployment.
• High level of communicating effectively across internal and external organizations, with both technical and non‑technical audiences.
• Fluent written and verbal communications skills in English (Swiss‑German is a plus) with demonstrated ability to communicate technical choices to business and technology stakeholders.

Preferred Qualifications

• Professional experience architecting/operating solutions built on AWS and/or AWS certification (e.g. AWS Solutions Architect Associate or Professional).
• Hands‑on experience benchmarking and optimizing performance of models on accelerated computing (GPUs, Trainium/Inferentia, TPU and/or AI ASICs) clusters with high‑speed networking.
• Understanding of technical details and techniques used in tuning generative AI foundation models using techniques like RAG, PEFT, RLHF, DPO.
• Experience scaling model training and inference using technologies like Slurm, ParallelCluster, Amazon SageMaker.
• 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.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

#J-18808-Ljbffr