Prin. Applied AI Architect, Nova Solutions

Position: Prin. Applied AI Architect, Amazon Nova Solutions
This job is with Amazon, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

DESCRIPTION:

Are you a AI builder that wants to  think fast, dive deep, and build?  We are seeking a GenAI specialist Principal SA to join our the Amazon Nova Solutions team to work with Foundation Model (FM) teams alongside internal and external Generative AI customers to build the applications of the future.

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 Nova 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 amazon Nova FM ecosystem and showcase the art of possible.
- Drive evaluation strategy, metric design, and evaluation data design for real-world use cases
- Drive deep architectural discussions and design exercises to create solutions built with Amazon Nova 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 Nova Applied AI 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 Generative

AI applications and apply the learning from these engagemetns to help make the Foundation Models better every day.

BASIC QUALIFICATIONS:

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications

PREFERRED QUALIFICATIONS:

- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of database design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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