Job Details

Principal Solutions Architect, AGS US GenAI/ML Specialist SA

Job ID: 2942128 | Amazon Web Services, Inc.

AWS GenAI/ML Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems. Do you enjoy solving novel and unique technical challenges for customers? Become an AWS Specialist SA!

The GenAI/ML Specialist SA Team is made up of deep domain experts who work directly with our customers to solve their most complex challenges. We are the Generative AI, Traditional AI, and Machine Learning experts for AWS customers and the Account Teams that support them. We contribute to account planning, architecting GenAI and Machine Learning solutions to ground-breaking customer challenges, running Proof-of-Concepts, and trying new things. We bring valuable customer data and insights to our product teams, strengthening the product roadmap. Our team is at its best when a customer is thinking big and needs specialized experience to innovate for their business. The needs and priorities of our customers drive us, and our product teams to innovate on their behalf in this exciting, fast-paced space.

Key job responsibilities

1. Provide customers with deep technical expertise in Generative AI, Traditional AI, and Machine Learning with AWS products to meet their business objectives.
2. Collaborate with specialist, sales, marketing, and products teams to ideate around your customers' most challenging problems.
3. Act as a trusted advisor to line of business, AI, Data, and C-suite leaders.
4. Lead architectural reviews and workshops to advance your customer's technical objectives.
5. 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. Participate as a leader in AWS technical communities.
6. Educate customers on the value proposition of AWS, and participate in architectural discussions to ensure solutions are designed for successful deployment in the cloud.
7. Provide data and anecdotes on what is working and what is not back to the larger specialist community and product teams. Act as primary point of contact for urgent customer issues in your technical specialty.
8. Thought Leadership and External Representation: Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences, such as AWS re:Invent.
9. Develop technical content, workshops, and thought leadership to enable the broader technical community, including Solution Architects, Data Scientists, and Technical Field Community members.
10. We prefer this candidate to have a track record of thought leadership and innovation around Machine Learning, Comfortable presenting to senior data and AI leaders, and have demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment.

About the team

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

BASIC QUALIFICATIONS

1. 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
2. Bachelor's degree in computer science, engineering, mathematics or equivalent
3. Experience developing technology solutions and evangelizing end-to-end technology roadmaps that guide IT transformations toward cloud computing
4. Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications

PREFERRED QUALIFICATIONS

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

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.