Senior Solutions Architect

3 weeks ago

San Francisco, California, United States AmazonWebServices Full time
About the Role

We are seeking a highly skilled Senior Solutions Architect to join our Generative AI Startups team. As a key member of our team, you will work closely with customers to help them leverage cutting-edge AWS technology to develop, train, and deploy the next generation of generative AI foundation models at scale.

Key Responsibilities
  • Help a diverse range of generative AI-focused startups 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 in solving technical problems and reducing time-to-market
About the Team

Our team is dedicated to working with startup companies as they build their businesses. We're here to help them deploy the best, most scalable, most secure, cost-effective, and easy-to-operate architectures.

What We Offer
  • A dynamic and collaborative work environment
  • Opportunities for professional growth and development
  • A competitive salary and benefits package
  • The chance to work with a diverse range of customers and technologies
Requirements
  • 3+ years of experience in software development, cloud computing, systems engineering, infrastructure, security, networking, data, and analytics
  • 3+ years of design, implementation, or consulting experience in applications and infrastructures
  • Experience working with end-user or developer communities
  • Experience working with Python and generative AI libraries and frameworks such as PyTorch, JAX, and TensorFlow
  • Understanding of technical details and techniques used in tuning generative AI foundation models using techniques like RAG, PEFT, RLHF, and DPO
  • Experience scaling model training and inference using technologies like Slurm, ParallelCluster, and Amazon SageMaker
  • Experience with related technology areas such as distributed filesystems and high-performance networking
Why Amazon Web Services?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

We value work-life harmony and offer flexible work hours and arrangements. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.

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