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.
In this highly technical and customer-facing role, you will lead the design and implementation of AI-powered experiences that transform how telecommunications companies serve their customers and run their networks. You will bridge the gap between frontier AI capabilities (large language models, multimodal foundation models, retrieval-augmented generation, speech-to-speech models) and real-world telco environments, from voice infrastructure (SBCs, IMS, SIP) to subscriber platforms and network operations centers.
As a trusted technical advisor, you will guide telco engineering and product teams through designing AI-native products and services: agentic voice pipelines for customer care, AI assistants that automate appointment booking and call answering for SMB customers, multilingual real-time translation, and GenAI copilots for network operations. You will work backwards from customer outcomes to define reference architectures that combine AWS AI services (Amazon Bedrock, Amazon Transcribe, Amazon Polly, Amazon Connect) with partner and open-source components in carrier-grade deployments.
This role requires someone who builds. You will write code, construct proof-of-concept implementations, contribute to open-source projects, and develop reusable blueprints that accelerate GenAI adoption across the telco vertical. You will influence AWS product roadmaps by translating customer requirements into feature requests and working directly with service teams. You will publish your work through whitepapers, blog posts, reference architectures, and conference presentations.
The ideal candidate combines deep generative AI expertise with a passion for shipping AI products in complex, regulated environments. You are equally comfortable whiteboarding transformer architectures with ML engineers, designing multi-turn agentic workflows, and understanding the operational realities of carrier-grade telecommunications networks.
Key job 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.
A day in the life
You whiteboard an agentic voice architecture with a Tier 1 operator's engineering team, then shift to coding a proof-of-concept for an AI-powered assistant that handles appointment scheduling and call answering. In the afternoon, you join a Bedrock product roadmap session advocating for features your customers need, then review a partner's proposal for integrating real-time translation into a subscriber app. Every engagement produces a tangible artifact (code, architecture, or content) that scales beyond a single customer.
BASIC QUALIFICATIONS
- 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 QUALIFICATIONS
- 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
