> Markdown version of [/jobs/ext/3876212-senior-worldwide-specialist-solutions-architect-genai-data-ai-gtm](https://www.wearedevelopers.com/jobs/ext/3876212-senior-worldwide-specialist-solutions-architect-genai-data-ai-gtm). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM

- **Company:** Amazon.com, Inc.
- **Location:** Irvine, CA, United States
- **Experience:** Expert
- **Salary:** $176,600.0 - $239,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Systems Engineering, Cloud Computing, Encodings, Databases, Machine Learning, SAS (Software), Software Engineering, LangChain, Large Language Models, IT Architecture, Model Validation, Llamaindex, Generative AI, Information Technology, Data Analytics, Data Augmentation
- **Published:** October 22, 2026
- **Apply:** https://dejobs.org/x/x/35163421171F4E968ADF8770853E05B1/job/

## About the Role

You must have deep technical experience working with technologies related to large language models including LLM architectures, model evaluation, and fine-tuning techniques. You should be proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. You must have experience with embedding model fine tuning and retrieval method evaluation approaches. You should understand the security and compliance requirements for ML/GenAI implementations. You must have experience with LangChain, LLAMAIndex, Data Augmentation, Responsible AI, and Performance Evaluation frameworks. You should have experience architecting end to end ML/Gen AI applications for customers using AWS services and Well Architected Framework.

Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovation., * 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

 * 3+ years of design, implementation, or consulting in applications and infrastructures experience
 * 6+ years of IT development or implementation/consulting in the software or Internet industries experience, * 5+ years of infrastructure architecture, database architecture and networking experience
 * Experience working with end user or developer communities
 * Experience architecting/operating solutions built on AWS

## Description

AWS is looking for a Generative AI Solutions Architect who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our Generative AI services. You will interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI. As part of the Generative AI Worldwide Specialist organization, you will work closely with other Solution Architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for GenAI services. You will interact with other Data Scientists and Solution Architects in the field, providing guidance on their customer engagements. You will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage Generative AI services on Amazon Web
Services. You will also create field enablement materials for the broader technical field population, to help them understand how to integrate AWS Generative AI solutions into customer architectures. You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review., * Customer Advisor- Implement, and deploy state of the art machine learning solutions under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers.

 * Thought Leadership - Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
 * Partner with Data Scientists, SAs, Sales, Business Development and the Generative AI Service teams to accelerate customer adoption and providing guidance on their customer engagements.
 * Act as a technical liaison between customers and the AWS Generative AI services teams to provide customer driven product improvement feedback.
 * Develop and support an AWS internal community of GenAI related subject matter experts worldwide. Create field enablement materials for the broader technical population, to help them understand how to integrate AWS GenAI solutions into customer architectures.