Sr Solutions Architect, Annapurna ML

Overview

Annapurna Labs was a startup company acquired by AWS in 2015 and now fully integrated. The AWS Machine Learning accelerators—Inferentia and Trainium—are part of our portfolio. We combine cloud scale with highly skilled engineers to deliver silicon, hardware, and software solutions for AWS customers.

• Design architectures and own PoC solutions for strategic customers, leveraging AWS ML accelerators.
• Drive adoption by owning technical engagements with ecosystem partners and strategic customers, assisting with technical roadmaps and enabling deployment on AWS ML accelerators.
• Develop strong partnership with engineering organisations, serving as customer advocate to drive product roadmap.
• Drive thought leadership by crafting and delivering compelling messaging artifacts (product videos, demos, workshops, guides, etc.) presented through AWS Blogs, reference architectures, solutions, and public‑speaking events.
• Capture, implement, and share best‑practice knowledge among the AWS technical community regarding AWS ML accelerators.

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

• 5+ years of infrastructure architecture, database architecture, and networking experience.
• Knowledge of SAP systems (SAP Business Suite, S/4
  
  HANA, 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 with SAP S/4
  
  HANA, 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.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

USA, CA, Cupertino –  –  USD annually

The base salary range for this position is listed above. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance, supplemental life plans), EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.