Overview
Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a hands‐on AI Specialist Solutions Architect (SSA). AWS Specialist Solutions Architects (SSAs) are technologists with deep domain‐specific expertise, able to address advanced concepts and feature designs.
Key Responsibilities
* Build technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organization.
* Manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects.
* Act as the voice of the customer, sharing their needs with regard to their usage of our services impacting the roadmap of AWS GenAI/ML and Agentic features.
* Link technology to tangible solutions, defining cloud‐native GenAI/ML and Agentic architectural patterns for a variety of use cases.
* Create and share best practices, technical content and new reference architectures (e.g., white papers, code samples, blog posts) and evangelize and educate about running GenAI/ML and Agentic workloads on AWS technology.
* Provide technical leadership and mentorship through deep dives, workshops, and contributions to reusable code, reference architectures, and internal technical assets.
Team & Organization
This position is part of the Amazon Specialist and Partner Organization (ASP). Specialists own the end‐to‐end go‐to‐market strategy for their respective technology domains and provide the business and technical expertise to help customers succeed. Partner teams own the strategy, recruiting, development, and growth of key technology and consulting partners, delivering the expertise and scale needed to build innovative solutions for complex challenges.
Basic Qualifications
* 7+ years of design, implementation, or consulting in applications and infrastructure experience
* 5+ years of managing technical, enterprise‐customer facing resources or equivalent experience
* 5+ years of design/implementation of production AI systems
Preferred Qualifications
* Hands‐on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) for secure, private‐network AI environments and Retrieval‐Augmented Generation.
* Effective communication across diverse audiences internally and externally.
* Influence customer and internal business decision makers as a technical thought leader.
* Cloud Technology Certification.
* Experience leading and influencing teams or writing low‐level drivers.
* Experience selling nascent products and services; ability to drive solutions to difficult problems.
* Master's degree in computer science, mathematics, statistics, machine learning, or equivalent quantitative field, or PhD.
* Proven ability to lead projects with complex challenges, delivering cost‐optimized, operationally excellent solutions.
* Experience fine‐tuning Large and Small Language Models using LoRA/QLoRA, Instruction Tuning, and RLHF for specific domain tasks.
* Expertise in architecting AI systems within highly regulated or security‐sensitive environments (e.g., Financial Services, Healthcare, Public Sector).
Equal Opportunity Statement
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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