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

$164,500 - $284,300/Yr

Amazon - Dallas, TX

Full-time - Senior

Dallas, TX

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

About the position

As a Principal Solutions Architect for GenAI/ML at Amazon, you will play a pivotal role in supporting the adoption and utilization of AWS GenAI/ML services across various industries in North America. Your responsibilities will include understanding customer requirements, designing tailored GenAI/ML solutions, conducting proof of concepts, and facilitating AWS service adoption. You will collaborate with sales and product teams to innovate and deliver scalable AWS solutions, while also creating thought leadership content and reusable assets to enhance customer engagement.

Responsibilities

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

Requirements

• 10+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics.
• Bachelor's degree in computer science, engineering, mathematics, or equivalent.
• Experience communicating with 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 related to Machine Learning.

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.