Sr Solutions Architect, Alexa+ 3P Experiences
About the role
The Alexa+ 3P Experiences team is looking for a Senior Solutions Architect to lead technical partner integrations that bring third-party agentic capabilities and services into Alexa+ across diverse consumer categories. Alexa+ is Amazon's next-generation personal AI assistant — rebuilt from the ground up on a modern architecture that orchestrates large language models (LLMs), agentic pipelines, and connected services at scale. Available across Echo (screened and non-screened), mobile, Fire TV, and Alexa.com, Alexa+ is designed to get things done through natural, capable, multi-turn interactions.
Responsibilities
Technical Delivery & Partner Integration Design and deliver end-to-end partner integration solutions leveraging modern protocols and agentic patterns (e.g., MCP, tool-calling, REST), ensuring experiences feel native to Alexa+ while respecting partner brand and capabilities
Work hands-on with partners to assess technical readiness, architect solutions across the full stack — from backend services and API design to front-end rendering — and troubleshoot complex integration challenges across multiple device surfaces
Exercise strong judgment in ambiguous technical situations, determining appropriate solution strategies and making clear trade-off recommendations (e.g., partial vs. full E2E integration, link-out vs. native rendering)
Create reusable integration patterns, technical documentation, and onboarding playbooks that accelerate future partner launches and reduce hands-on SA effort over time
Develop reference architectures that leverage horizontal capabilities (compositional rendering, streaming, smart routing) to address common partner needs across categories
Contribute to self-serve tooling and developer resources that enable the program to scale beyond 1:1 SA engagement
Own technical relationships with partner engineering and product teams, guiding integrations from commitment through launch
Synthesize partner feedback, integration friction, and technical gaps into actionable product requirements for internal engineering teams
Collaborate with product leadership during early capability formation, directly shaping the roadmap based on real partner integration learnings
Qualifications
8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
Bachelor's degree in computer science, engineering, mathematics or equivalent
Working knowledge of LLMs and their application in generative AI systems