Solutions Architect - Npo, Membership Account Team

Amazon Amazon · Big Tech · Arlington, VA · Solutions Architect

Solutions Architect II for AWS Worldwide Public Sector's US Nonprofit (NPO) team, focusing on the Membership sub-vertical. The role involves architecting, demonstrating, and accelerating AWS adoption for large nonprofit organizations. Key responsibilities include leading generative AI engagements on Amazon Bedrock (Knowledge Base, AgentCore, RAG, agentic AI, Responsible AI), modernizing contact centers with Amazon Connect, and building AI-driven analytics. The role also involves mentoring junior SAs and contributing to internal accelerators and demo-build programs.

What you'd actually do

  1. Serve as the primary technical advisor on a named book of strategic Membership sub-vertical accounts (typically 3–5 accounts), partnering daily with their Account Executive on customer engagement strategy, opportunity progression, and stakeholder alignment from technical-IC altitude up to CIO/CTO/CFO.
  2. Drive end-to-end AWS adoption across customer workloads: discovery, architecture design, proof of concept, production deployment, and ongoing optimization. Own the technical narrative across the customer's full lifecycle on AWS.
  3. Lead production-altitude generative AI engagements on Amazon Bedrock — including Knowledge Base + AgentCore deployments, Retrieval-Augmented Generation patterns, model selection and inference-latency optimization, agentic-AI use cases (Strands SDK, Amazon Q), and Responsible AI guardrails for member-facing applications.
  4. Architect contact-center modernization on Amazon Connect (including Amazon Lex, Amazon Nova Sonic for voice, agentic voice-banking patterns) and AI-driven analytics on Amazon Quick Suite, AWS Lake Formation, AWS Glue, and Amazon QuickSight.
  5. Build and contribute reusable demo and architecture patterns to the NPO SA org's bi-weekly Kiro demo-build program — your work is expected to multiply beyond your accounts and benefit peer SAs across the broader NPO vertical.

Skills

Required

  • design, implementation, or consulting in applications and infrastructures experience
  • specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • AWS adoption
  • generative AI on Amazon Bedrock
  • Knowledge Base + AgentCore deployments
  • Retrieval-Augmented Generation patterns
  • model selection and inference-latency optimization
  • agentic-AI use cases
  • Responsible AI guardrails
  • contact-center modernization on Amazon Connect
  • AI-driven analytics on Amazon Quick Suite, AWS Lake Formation, AWS Glue, and Amazon QuickSight

Nice to have

  • Experience working within software development or Internet-related industries
  • Experience migrating or transforming legacy customer solutions to the cloud
  • Experience working with AWS technologies from a dev/ops perspective

What the JD emphasized

  • production generative AI on Amazon Bedrock
  • Knowledge Base + AgentCore deployments
  • Retrieval-Augmented Generation patterns
  • model selection and inference-latency optimization
  • agentic-AI use cases
  • Responsible AI guardrails
  • agentic-AI-first internal workflow

Other signals

  • production generative AI on Amazon Bedrock
  • Knowledge Base + AgentCore deployments
  • Retrieval-Augmented Generation patterns
  • model selection and inference-latency optimization
  • agentic-AI use cases
  • Responsible AI guardrails