Sr. Solutions Architect, Generative AI Startups, AWS

$138,200 - $239,000/Yr

Amazon - New York, NY

Full-time - Mid Level

New York, NY

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

About the position

The Sr. Solutions Architect for Generative AI Startups at AWS is responsible for working with early-stage life sciences startups to help them leverage AWS technology for developing, training, tuning, and deploying generative AI models. This role involves establishing technical relationships, providing architectural guidance, and creating technical content to support startups in their growth and innovation efforts.

Responsibilities

• Help a diverse range of generative AI-focused startups to adopt the right architecture at each part of their lifecycle
• Support startups in architecting scalable, reliable and secure solutions
• Support adoption of a broad range of AWS services to deliver business value and accelerate growth
• Support the evolution and roadmap of the AWS platform and services, connecting our engineering teams with our customers for feedback
• Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs
• Develop startup specific technical content, such as blog posts, sample code and solutions, to assist customers solve technical problems and reduce time-to-market

Requirements

• 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 5+ years of design, implementation, or consulting in applications and infrastructures experience

Nice-to-haves

• 5+ years of infrastructure architecture, database architecture and networking experience
• Experience working with end user or developer communities
• Experience working with Python and generative AI libraries and frameworks such as PyTorch, JAX, TensorFlow
• Understanding of technical details and techniques used in tuning generative AI foundation models using techniques like RAG, PEFT, RLHF, DPO
• Experience scaling model training and inference using technologies like Slurm, ParallelCluster, Amazon SageMaker
• Experience with related technology areas such as distributed filesystems and high performance networking

Benefits

• Flexible work hours and arrangements
• Mentorship and career growth opportunities
• Diversity and inclusion initiatives
• Employee-led affinity groups
• Knowledge-sharing and continuous learning resources