Principal Solutions Architect, Generative AI, AWS Industries, Telco

Amazon is hiring a Principal Solutions Architect, Generative AI, AWS Industries, Telco in Bellevue, United States. It pays $183k-$247k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this solutions architect role Works on AI ●●●○: the daily work is on AI products, without building the model.
Pay on this posting starts 8% higher than the typical solutions architect posting on Level.
The posting mentions Bedrock, Amazon Bedrock and Amazon Transcribe among its tools and skills.
Level classes it as an executive role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Architect and prototype production-grade generative AI and agentic solutions for major telecommunications operators.

BedrockAmazon BedrockAmazon TranscribeAmazon PollyAmazon Connect

prompt-engineeringragai-agentsfine-tuningai-safety

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.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

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

How we rate this

Principal Solutions Architect, Generative AI, AWS Industries, Telco at Amazon rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Principal Solutions Architect, Generative AI, AWS Industries, Telco is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $183k-$247k a year.
The role is based in US, WA, Bellevue.
The job was posted on June 17, 2026.
Seniority: executive.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGAI agentsFine-tuningAI SafetyBedrockAmazon BedrockAmazon Transcribe

Also common in solutions architect jobs at this level

Python Azure Google Cloud SQL Kubernetes Spark

Pay

This job starts at: $183k
Typical solutions architect job: $169k

This posting starts 8% above the typical solutions architect job. See solutions architect jobs

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How do you think about the risk of an AI system in this kind of role failing silently?

Adapt your resume

List these exact terms on your resume: Prompt engineering, RAG, AI agents, Fine-tuning, and AI Safety. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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