In this role, you will be the voice of the builder, with ownership for working alongside Amazon businesses to develop GenAI solutions that deliver their immediate business value and realize the future of customer experience. You will help your customers understand best practices and develop new best-practice patterns as you encounter new problem spaces. With your day to day focus on the builder, you will be expected to provide insights to product, science, and engineering on how customers build with our FM's and how we can improve. You will be empowered to invent on behalf of our customers and advocate for their needs throughout design, build, and launch of next gen FM's.
This position has a high level of visibility, so you will need to be able to communicate clearly and compellingly at all levels of the company. Additionally, you will be responsible for measuring business impact by diving deep into metrics and customer inputs. You should have a positive attitude and strong work ethic; you will work fast and smart, and adapt and iterate quickly.
Key job responsibilities
- Ensure success in designing, building and migrating applications, software, and services with Amazon FM's, AWS Bedrock, and other AWS GenAI capabilities.
- Interact with customers directly to understand their business problems and help them implement durable GenAI systems.
- Educate customers on the value proposition of AGI FM ecosystem and showcase the art of possible.
- Drive deep architectural discussions and design exercises to create solutions built with Amazon FM's
- Author and contribute to AWS customer-facing publications such as whitepapers, workshops, demos and proof of concepts.
- Build deep relationships with customer engineering, product, and science leaders.
- Capture and share GenAI best-practice knowledge across internal Amazon builders and the AWS solutions architect community.
About the team
Amazon AGI Solutions Team serves as a bridge between Foundation Model science, engineering, and product teams and the internal Amazon teams using these models to deliver business value to Amazon's customers. We help customers build GenerativeAI applications and apply the learning from these engagemetns to help make the Foundation Models better every day.
BASIC QUALIFICATIONS
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Experience working with end user or developer communities
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 6+ years of design, implementation, or consulting in applications and infrastructures experience
- Experience architecting/operating solutions built on AWS
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- 2+ years of experience in end to end technical architecture, design, deployment and operations for LLM/Generative AI/ML platforms and applications
PREFERRED QUALIFICATIONS
- Experience leading or developing high quality, enterprise scale software products using a structured system development lifecycle
- Experience with presentations and speaking with executives, IT, management, and developers
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.