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Solutions Architect - NPO, Membership Account Team

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: Amazon
Full Time position
Listed on 2026-07-10
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), AWS
Salary/Wage Range or Industry Benchmark: 131300 - 177600 USD Yearly USD 131300.00 177600.00 YEAR
Job Description & How to Apply Below

AWS Worldwide Public Sector's US Nonprofit (NPO) Solutions Architecture team is hiring a Solutions Architect II to partner with Account Executives across the Membership sub-vertical and serve the largest membership-based nonprofits in the United States — organizations whose missions touch tens of millions of Americans every year.

You will architect, demo, and accelerate AWS adoption for customers including national associations, religious organizations, charities, and member-services nonprofits — accounts where a single architectural decision can affect millions of members or program participants. The Membership sub-vertical inside NPO grew +15.7% YoY YTD growth on $65.9M YTD QSR (106.2% attainment) in H1 2026, with every month at or above 100% attainment.

The work spans the most active themes in 2026 customer conversations: production generative AI on Amazon Bedrock, AI-driven business intelligence on Amazon Quick Suite, contact-center modernization on Amazon Connect, large-scale migrations from on-premises and competing clouds, and modern data platforms on AWS Lake Formation, AWS Glue, and Amazon Quick Sight.

This is a player-coach team. We expect SAs to drive customer outcomes individually AND to invest in each other's growth — through a bi-weekly Kiro demo-build program, a structured SA-AE mock customer-call program for skill development, peer architecture review, and shared development of internal accelerators (Kiro CLI workflow automation, agentic-AI playbooks, customer-engagement frameworks). You will be expected to ship customer wins in your first 90 days, and you will be developed toward the next level from day one.

Key

job responsibilities
  • 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.

  • 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.

  • Lead production-altitude generative AI engagements on Amazon Bedrock — including Knowledge Base + Agent Core 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.

  • 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 Quick Sight.

  • Lead customer-facing immersion days, builder days, and executive-altitude technical briefings — translating business priorities into AWS architectures, pricing estimates, and roadmap proposals.

  • 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.

  • Mentor more junior SAs on the team via structured coaching: the SA-AE mock customer-call program, build-day shadowing, peer review of customer artifacts, and pair-architecting on complex engagements.

  • Influence customer technical and business stakeholders at director through C‑suite altitude — earning the trust to be invited back into executive conversations on subsequent strategic decisions.

A day in the life

You might start the day with a 1:1 with your Account Executive on opportunity progression, then transition into a customer architecture review for a Bedrock production workload — including a discussion on inference-latency tradeoffs and Knowledge Base ingestion patterns. After that, you might run a Quick Suite Spaces demo for a customer's analyst team to show natural-language BI in action, draft an executive readout for a CIO using Kiro, and close the day with a 30-minute peer build-day session where you and a teammate design the next agentic demo for the Kiro…

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