Sr Solutions Architect, Annapurna ML

Amazon • Cupertino, CA

4d • $176,600 - $239,000 • Onsite

About The Position

Annapurna Labs, now integrated into AWS, was a startup focused on providing infrastructure for AWS. The organization encompasses silicon engineering, hardware design and verification, software, and operations, and has delivered products like AWS Nitro, ENA, EFA, Graviton, F1 EC2 Instances, AWS Neuron, Inferentia, Trainium ML Accelerators, and scalable NVMe storage. The AWS Machine Learning accelerators, including Inferentia and Trainium, are at the forefront of AWS innovation, delivering high-performance ML inference and training at competitive costs. This is supported by the AWS Neuron Software Development Kit (SDK), which integrates with popular ML frameworks. The Amazon Annapurna Labs team is responsible for driving innovation in silicon and software for AWS customers, combining cloud scale with talented engineers across various disciplines. The role of Sr Solutions Architect is a customer-facing position that involves working closely with the Neuron software development team and strategic customers to develop accelerated Machine Learning solutions. The architect will leverage hands-on experience in developing and deploying Deep Learning models and integrating them with ML accelerator products for large-scale production applications. The role requires technical capability and credibility to act as a trusted advisor for customers, and involves capturing and sharing best practices, shaping the use of AWS ML accelerator technology, and collaborating with AWS services teams, technical field communities, sales, marketing, business development, and professional services to drive adoption. The architect will also amplify thought leadership around the AWS Neuron technology stack to the broader AWS field community and customers.

Requirements

• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 3+ years of design, implementation, or consulting in applications and infrastructures experience
• 10+ years of IT development or implementation/consulting in the software or Internet industries experience

Nice To Haves

• 5+ years of infrastructure architecture, database architecture and networking experience
• Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
• Experience working with end user or developer communities
• Experience managing relationships with SAP customers and partners
• Experience in SAP S/4HANA, SAP Cloud Platform, SAP Cloud ERP and Cloud ERP Private
• Experience in SAP clean core design concepts, including design and build using non-SAP technologies in domains such as Generative / Agentic AI, and data & analytics

Responsibilities

• Design architectures and own Proof of Concept (PoC) solutions for strategic customers, leveraging AWS ML accelerators technologies and the broader set of AWS features and services.
• Drive adoption by taking ownership of technical engagements with eco-system partners and strategic customers, assisting with the definition and implementation of technical roadmaps and enabling them to successfully deploy on AWS ML Accelerator.
• Develop strong partnership with engineering organizations, serving as the customer advocate, to help drive product roadmap working backwards from customers feedback.
• Drive thought leadership by crafting and delivering compelling audience-specific messaging artifacts (product videos, demos, workshops, how to guides etc.) presenting AWS ML accelerator technology through AWS Blogs, reference architectures and solutions, and public-speaking events.
• Capture, implement and share best-practices knowledge among the AWS technical community regarding AWS ML Accelerators.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed