Principal Solutions Architect, Generative AI, Startups, AWS

Principal Solutions Architect, Generative AI, Startups, 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.

In this role you will get to practice your creativity, linking technology to tangible solutions and educating AWS customers about the art of the possible. You will have the opportunity to grow cloud-native reference architectures for a variety of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will be learning something new from your customers, your peers and your own experiments.

Principal Solutions Architects work on the more complex customer challenges and opportunities. They have a leading role in mentoring others and developing the team capabilities. They combine an informed view of the market with their understanding of emerging technology trends to support innovation across the startup customer base. Externally, they are recognized thought leaders and refine the strategy of our customers. Internally, they earn a reputation of role models and deliver bar-raising guidance to the broader Solutions Architecture team.

You will be part of a team that is responsible for driving adoption of AWS technologies while bringing differentiated value to customers. This is a team dedicated to Startups, an important and growing subset of customers for AWS. Startups follow unique technology adoption patterns and growth trajectories that distinguish them from traditional businesses, so you will be employing engagement strategies and programs tailored to their business needs and technical preferences.

Key job responsibilities

1. As a Solutions Architect, you will work directly with customers to accelerate their challenging and important projects and recommend best-practice architectures in line with their long-term business outcomes.
2. 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.
3. 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 support the creation or updates of technical content and reference architectures (e.g. white papers, code samples, blog posts).
4. Evangelize and educate about AWS technology and industry trends (e.g. workshops, user groups, meetups, public speaking, online videos or conferences).

1. Experience with building, validating and deploying GenAI models and applications on cloud infrastructure.
2. Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet.
3. Knowledge of MLOps tools and workflows for model development, validation, and deployment.
4. High level of communicating effectively across internal and external organizations, with both technical and non-technical audiences.
5. Experience driving technical and/or organizational change of significant complexity.

1. Professional experience architecting/operating solutions built on AWS and/or AWS certification (e.g. AWS Solutions Architect Associate or Professional).
2. Expertise in one or more of the following: DevOps, Containers, Big Data Solutions, Serverless, Networking, Security, Databases, IOT, AI/ML, Cloud Migration and IT Transformation.
3. Hands-on experience benchmarking and optimizing performance of models on accelerated computing (GPU, TPU, AI ASICs) clusters with high-speed networking.
4. Experience scaling model training and inference using technologies like Slurm, ParallelCluster, Amazon SageMaker.
5. 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.