Amazon
Principal Solutions Architect, Generative AI, AWS Industries, Telco
$183K–$247K
Bellevue, WA · Principal · Full-time · Posted Jun 17, 2026
- Experience
- 10+ years in specific technology domain areas.
About the job
Builds and delivers production-grade generative AI solutions and architectures for telecommunications customers, while advising teams and helping shape AWS AI services.
What you'll do
- Design, prototype, and deliver AI solutions for telco use cases, including agentic voice, assistants, translation, and network operations.
- Lead customer technical engagements and develop reusable reference architectures and implementation blueprints.
- Influence AWS service roadmaps and publish technical content and reference implementations.
What they ask for
- 10+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data and analytics.
- Experience communicating with technical and non-technical audiences, including C-level stakeholders, and delivering training, workshops, or publications.
- Experience developing technology solutions and evangelizing end-to-end technology roadmaps for cloud transformations.
- Experience building complex software systems delivered to customers, or experience with Machine Learning and Large Language Model fundamentals; also experience designing, building, operating, and managing large-scale distributed systems or web services.
Nice to have
- Experience with voice interface, natural language, or multimodal design.
- Experience writing technical articles, speaking at technology conferences, contributing to open source, deploying LLMs on AI acceleration hardware, or programming in Java, C++, or C#.
Pay
182,800.00 - 247,300.00 USD annually (base salary)
Tools
Amazon Bedrock, Amazon Transcribe, Amazon Polly, Amazon Connect, SBCs, IMS, SIP, GPUs
AI focus
Build and deploy generative AI for telco, including agentic voice, assistants, real-time translation, network operations, foundation-model pipelines, RAG, tool use, fine-tuning, prompt engineering, guardrails, and responsible AI.
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