Principal Solutions Architect, GenAI/ML - WWSO Data & AI GTM SA Team

$164,500 - $284,300/Yr

Amazon - Chicago, IL

Full-time - Principal

Chicago, IL

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

As Principal Solution Architect, GenAI/ML, you will support the adoption and utilization of Amazon Web Services (AWS) GenAI/ML services for customers in North America across various industries. Your role involves understanding customer requirements, designing GenAI/ML solutions, conducting proof of concepts, and facilitating AWS service adoption. You will collaborate with AWS product teams to innovate and deliver scalable solutions, influence go-to-market strategies, and create thought leadership content to assist customers in adopting AWS services effectively.

Responsibilities

• Support the adoption and utilization of AWS GenAI/ML services for customers in North America.
• Understand customer requirements and design GenAI/ML solutions.
• Conduct proof of concepts and remove blockers for AWS service adoption.
• Gather customer and industry needs to partner with AWS product teams.
• Collaborate with Sales and Go to Market counterparts to influence GTM strategies.
• Partner with internal product teams and account managers to win strategic customer workloads.
• Create reusable assets and demos to help customers adopt AWS services at scale.
• Deliver thought leadership content and conduct webinars and workshops.

Requirements

• 10+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics.
• Bachelor's degree in computer science, engineering, mathematics or equivalent.
• Experience communicating across technical and non-technical audiences, including C-level executives.
• Experience developing technology solutions and guiding IT transformations toward cloud computing.
• At least 3 years of experience in Machine Learning with knowledge of supervised, unsupervised, and reinforcement learning.
• Experience with Amazon SageMaker or similar products and understanding of various algorithms and architectures.

Nice-to-haves

• Knowledge of distributed systems design and implementation.
• Knowledge of large scale automation and workflow management.
• Knowledge of database design and implementation.
• Strong presentation and whiteboarding skills with comfort speaking to executives and IT management.

Benefits

• Mentorship and career growth opportunities.
• Work/life balance with flexible working culture.
• Inclusive team culture with employee-led affinity groups.
• Diverse experiences encouraged in the hiring process.