Senior AI Solution Architect

Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a hands-on AI Specialist Solution Architect (SSA). AWS Specialist Solutions Architects (SSAs) are technologists with deep Basic qualifications: - 7+ years of design/implementation/operations/consulting with distributed applications experience - 5+ years of management of technical, enterprise customer facing resources or equivalent experience - Experience giving skills and communicating complex concepts clearly and effectively to diverse audiences across different functions - Experience leading engineering discussions around technology decisions and strategy related to a product - 5+ years of building large-scale machine learning and AI solutions at Internet scale experience - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - Hands-on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) to set up secure, private-network AI environments, and practical experience implementing Retrieval-Augmented Generation using embeddings, vector stores, and semantic search optimization Preferred: - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience (non-internship) in professional software development - Experience engaging and influencing C-level executives, both business and technical - Cloud Technology Certification, or AWS Professional level certification - Experience developing solutions and executing plans on complex projects - Experience leading and influencing your team or organization - Master's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or PhD - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience with PyTorch, JIT compilation, and AOT tracing - Deep Agentic AI expertise - Hands-on experience with multi-agent orchestration, tool use, memory, and guardrails using frameworks such as LangGraph, AutoGen, or AWS AgentCore; proficiency in responsible AI tooling including AWS Clarify, Guardrails for Bedrock, model explainability, and bias detection - Strong ability to determine solution strategy and where to simplify or extend solutions for the best outcome - Expertise in architecting AI systems within highly regulated or security-sensitive environments (e.g., Financial Services, Healthcare, Public Sector) 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.