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.
About the team The AWS Industries Telco SA team partners with North America's largest telecommunications companies to accelerate cloud transformation and AI adoption. We combine deep telco industry expertise with technical depth across AI/ML, networking, and modern application architectures. We operate at the intersection of frontier AI and carrier-grade operational requirements, helping customers reinvent their customer experiences through generative AI. We are builders who lead by example: we publish, code, prototype, and scale solutions across the industry.
About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 182,800.00 - 247,300.00 USD annually