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The Alexa+ team seeks an experienced Solutions Architect to help third-party developers integrate their products and services with Alexa+.Powered by generative AI, Alexa+ is your new personal AI assistant that gets things done—she’s smarter, more conversational, more capable, and will be available across our family of devices: screened, non-screened, mobile, FireTV, and Alexa.com, to name a few. Rebuilt from the ground up, this new version of Alexa uses a state-of-the-art architecture that automatically connects a variety of large language models (LLMs), agentic capabilities, services, and devices at scale.Key job responsibilities
Technical Innovation
- Architect and prototype generative AI applications leveraging Alexa+ capabilities
- Design and optimize LLM prompts to enhance Alexa+'s conversational intelligence, latency and accuracy
- Create technical solutions that integrate third-party services with Alexa+
Partner Enablement
- Lead architectural discussions with developers and strategic partners to maximize Alexa+ adoption
- Deliver compelling demonstrations that showcase the transformative potential of Alexa+ technologiesStrategic Leadership
- Provide thought leadership on Alexa+ integration patterns and reference architectures
- Shape product roadmaps by translating industry trends and partner needs into platform enhancements
A day in the life
We’re looking for a highly talented and motivated SA to join our Alexa+ team to help bring our partner experiences to life with generative AI. You’ll engage in deep, technical discussions to design solutions, solve problems, and coordinate Alexa+ feature implementations to raise the bar on the customer experience. You’ll be acting as voice of the developer with our domain, product and engineering teams to influence roadmaps using data-driven analysis, and a working backwards mindset.
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Experience in technology/software sales, pre-sales, or consulting
- Demonstrated expertise in prompt engineering for large language models
- Experience with two or more development languages such as Python, Java, JavaScript and TypeScript
- Technical undergraduate degree in computer science, MIS, engineering, or equivalent experience
- Experience working within software development or Internet-related industries
- Experience with AWS technologies
- Experience building prototypes and proof-of-concepts with leading AI frameworks and platforms
- Background in voice technology and conversational AIPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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