About the job
Amazon Web Services (AWS) is seeking an experienced and deeply technical Generative AI Solutions Architect to accelerate AI adoption across North America's largest telecommunications operators. This is a builder-first role. You will prototype, architect, and deliver production-grade generative AI solutions spanning agentic voice systems, AI-powered SMB assistants, personal subscriber assistants, real-time translation, and intelligent network operations.
Responsibilities
Design and deliver generative AI solutions for telco customers across multiple domains: agentic voice, AI assistants, real-time translation, and network operations AI.
Architect end-to-end AI pipelines integrating foundation models, speech, vision, and tool-use agents with telco platforms and infrastructure.
Build production-quality proof-of-concepts demonstrating agentic capabilities including multi-turn reasoning, tool use, RAG, and real-time voice interaction.
Lead technical engagements with telco engineering teams on foundation model selection, fine-tuning, prompt engineering, guardrails, and responsible AI.
Provide strategic guidance on deploying AI agents into telco environments, addressing latency, reliability, compliance, and scale requirements.
Develop reference architectures and reusable blueprints that accelerate GenAI adoption, combining Bedrock, Transcribe, Polly, Connect, and partner ecosystem components.
Influence AWS AI service roadmaps by capturing customer requirements and collaborating with service teams.
Author whitepapers, blog posts, and reference implementations establishing AWS's point of view on GenAI for telecommunications.
Drive customer growth through GenAI-focused sales strategies in partnership with AWS Sales teams.
Build trusted advisor relationships with senior technical leaders (VP Eng, CTO, Chief AI Officer) at telco customers.
Qualifications
Minimum
10+ 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 and at C-level, including training, workshops, publications
Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
Experience building complex software systems that have been successfully delivered to customers, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
Experience designing, building, operating, and managing large-scale distributed systems or web services
Preferred
Experience with voice interface, natural language or multimodal design
Experience writing technical articles, speaking at technology conferences, and contributing to open source
Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience programming with at least one modern language such as Java, C++, or C# including object-oriented design