Description

The Worldwide Specialist Organization (WWSO) works backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams are made up of specialists with deep technology and industry expertise who help carry their fields into the future. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

As part of the Worldwide Specialist Team, you will lead the global GTM plan for Generative AI, Training and Inference. You are a leader for specialists, architects, partners, and account teams around the world and set direction and standards for how we solve customer problems in your domain. You partner with technical and business teams across AWS and bring the voice of the customer into our product development roadmap. The WW team sees the big picture and sets the plan so the world’s most customer obsessed technical teams can make history.

The WWSO GenAI Worldwide GTM team develops and executes the GTM strategy to grow our GenAI business and service our customers across large scale model training, inference, and model consumption of GenAI models from tier-1, 3rd party model providers spanning across several AWS Services. As a Solution Architect on the GenAI team, you will have the opportunity to work across key GenAI-related services like Amazon Bedrock, Jumpstart, Trainium, Inferentia, to develop proof-of-concepts, prototypes, and demos to help customers build, deploy, and consume GenAI models in production. Your work will have a direct impact on enabling customer builds and leveraging GenAI models, GenAI AWS revenue, and developing our services and informing product roadmaps via market and customer signals.

You will help develop the industry’s best cloud-based solutions to grow the GenAI business. Working closely with our engineering teams, you will help enable new capabilities for our customers to develop and deploy GenAI workloads on AWS. You will facilitate the enablement of AWS technical community, sales, and solution architects with specific customer centric value proposition and demos about end-to-end GenAI on AWS cloud.

You will possess a business and technical background that enables you to drive an engagement and interact at the highest levels with startups, Enterprises, and AWS partners. You will have the technical depth and business experience to easily articulate the potential and challenges of GenAI models and applications to engineering teams and C-Level executives. This requires deep familiarity across the stack – compute infrastructure, ML frameworks, orchestration layers, large models, frameworks like LangChain for developing applications powered by GenAI models, MLOPs, as well as target use cases in the cloud.

You will drive the development of the GTM plan for building and scaling GenAI on AWS, interact with customers directly to understand their business problems, and help them with defining and implementing scalable GenAI solutions to solve them (often via proof-of-concepts). You will also work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.

You should be passionate about helping companies/partners understand best practices for operating on AWS. An ideal candidate will be adept at interacting, communicating and partnering with other teams within AWS such as product teams, solutions architecture, sales, marketing, business development, and professional services, as well as representing your team to executive management. You will also look for patterns and trends that can be broadly applied across an industry segment or a set of customers that can help accelerate innovation.

Key job responsibilities

• Create scalable solutions for your customers to solve their most critical business challenges.

• Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.

• Partner with Business Development teams to create best in class GTM concepts, solutions, and initiatives.

• Partner with account SAs, Sales, Business Development, and Service teams to accelerate customer adoption and provide guidance on their customer engagements.

• Develop and support an AWS internal community of technical related subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services solutions into customer architectures.

• Provide data and anecdotes on what is working and what is not back to GTM Specialists and into Worldwide and Product teams.

• Build prototypes, PoCs, and explore new solutions. You will interact closely with our customers and with the academic community.

We are open to hiring candidates to work out of one of the following locations:

Austin, TX, USA

Basic Qualifications

• 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

• 3+ years of design, implementation, or consulting in applications and infrastructures experience

• 10+ years of IT development or implementation/consulting in the software or Internet industries experience

• Bachelor’s degree in technical discipline with 8+ years of technical design / implementation / consulting experience.

• Experience with GenAI models across training, inference, MLOPs, and/or developing GenAI applications

• 5+ years of experience training large models across compute types (e.g., GPUs, custom instances), and developing applications powered by GenAI models

• Deep hands-on understanding of deep learning and other ML algorithms and infrastructure

Preferred Qualifications

• 5+ years of infrastructure architecture, database architecture and networking experience

• Experience working with end user or developer communities

• 8+ years of pre-sales engineering, technical business development, enterprise sales, strategic partnerships, or program/product management experience

• Thorough understanding of AI/ML technology stack

Experience with cloud computing and or related fields

• Experience with one or more general purpose programming languages, including but not limited to: C/C++, C#, Python

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.