Senior Worldwide Specialist Solutions Architect - Bedrock, Data & AI GTM

About the role

In this role, you will help some of our largest customers build and deploy Generative AI (GenAI) enabled applications using Amazon Bedrock and SageMaker, fine-tune and build Generative AI models, and help enterprise customers leverage these models to power end applications. You will engage with AWS product owners to influence product direction and help customers tap into new markets by utilizing GenAI along with AWS Services.

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 distill that feedback into clear business and technical requirements for product and engineering teams. Travel up to 30% may be possible.

Responsibilities

• Implement and deploy state-of-the-art machine learning solutions under GenAI, build prototypes, PoCs, and explore new solutions while interacting closely with customers.
• Advocate for AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures, and public-speaking events (e.g., AWS Summit, AWS re:Invent).
• Partner with Data Scientists, Solution Architects, Sales, Business Development, and Generative AI Service teams to accelerate customer adoption and provide guidance on customer engagements.
• Act as a technical liaison between customers and 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 integrate AWS GenAI solutions into customer architectures.

Requirements

• 4+ years of design, implementation, or consulting in applications and infrastructures experience.
• Experience in professional, non-internship software development, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution.
• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
• 4+ years of working with Data & AI-related technologies, including AI/ML, GenAI, Analytics, Database, and/or Storage.
• Deep technical experience with large language models (LLMs), including LLM architectures, model evaluation, and fine-tuning techniques.
• Proficiency with design, deployment, and evaluation of LLM-powered agents, tools, and orchestration approaches.
• Experience with embedding model fine-tuning and retrieval method evaluation approaches.
• Understanding of security and compliance requirements for ML/GenAI implementations.
• Experience with LangChain, LLAMAIndex, Data Augmentation, Responsible AI, and Performance Evaluation frameworks.
• Experience architecting end-to-end ML/GenAI applications for customers using AWS services and the Well-Architected Framework.
• Strong communication skills with the ability to engage effectively at all levels, from executives to developers.

Preferred Qualifications

• Experience working with end-user or developer communities.
• Experience with training and deploying machine learning systems to solve large-scale optimizations.
• Experience with distributed computing, programs, and systems.
• Experience communicating with a wide range of stakeholders, including leadership, or experience working with data analytics and using metrics to identify problems.
• Experience with AWS or cloud technologies.
• Experience leading engineering discussions around technology decisions and strategy related to a product.
• Experience in Kubernetes, Docker, or the containers ecosystem.

About the Team

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, offering a robust suite of products and services trusted by startups and Global 500 companies. We strive to become Earth’s Best Employer, fostering a culture of knowledge-sharing, mentorship, and career development. Work-life harmony is a priority, with flexibility built into our working culture to support both professional and personal well-being.

AWS values diverse experiences and encourages learning and curiosity. Employee-led affinity groups promote inclusion, and ongoing events like Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) inspire us to embrace our differences.

Pay

The base salary range for this position varies by location:

• San Francisco, CA: $176,600 - $239,000 USD annually
• New York, NY: $169,000 - $228,600 USD annually
• Seattle, WA: $153,600 - $207,800 USD annually

Your Amazon package will include sign-on payments, restricted stock units (RSUs), and comprehensive benefits such as health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, supplemental life plans, EAP, mental health support, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at amazon.jobs/en/benefits.