Principal Applied AI SA, Software, AI, and Technology (Digital Native)

Applied AI Specialist Solutions Architect (SA) AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Are you passionate about generative AI, agentic AI, and the large language models and autonomous systems reshaping how businesses operate? Are you excited by the idea of helping some of the world's largest technology companies put that potential into production? We'd love to hear from you. Generative AI and agentic AI are changing how people work. Generative AI is producing code, content, and analysis on demand, while agentic systems are taking on multi-step business tasks with growing autonomy, from customer support and software delivery to financial operations and supply chain logistics. Training and running the foundation models and agents behind this shift takes serious compute, which is why the cloud, and AWS in particular, is where this work happens. We're looking for someone who wants to help enterprise customers turn that potential into real, production systems. In this role, you'll be the go-to technical expert for designing scalable, secure, and cost-effective generative AI and agentic AI solutions using services like Amazon Bedrock, Amazon Bedrock AgentCore, and the Strands Agents SDK. You'll balance what's newest in AI with what large enterprises actually need to run in production: reliability, governance, and compliance. That means helping organizations build responsible AI practices, from choosing and customizing foundation models to running multi-agent systems in production, backed by clear governance frameworks and secure AI pipelines. You'll work directly with some of AWS's largest and most strategic technology customers as they build out their AI roadmap, helping their teams stand up practical GenAIOps and AgentOps practices and enterprise-grade AI architectures that deliver measurable business value. Day to day, that means sitting down with customer engineering teams to understand what they're trying to build, then turning that into concrete technical architectures spanning model selection, orchestration, and agent deployment. You'll present AWS services and solutions, write up the patterns that work so others can reuse them, and help customers, partners, and independent software vendors (ISVs) get the most out of generative AI and agentic AI on AWS. You'll also help raise the bar across AWS's technical community by sharing what you learn along the way. We're looking for people with deep, hands-on experience across the applied AI spectrum: generative AI and agentic AI, plus a working knowledge of the model training and fine-tuning that sits underneath them. That includes real experience with large language model (LLM) customization and fine-tuning, inference optimization, agentic frameworks (for example Strands Agents SDK, LangGraph, CrewAI), GenAIOps and AgentOps, AI security, retrieval-augmented generation (RAG) and vector store optimization (for example vector engines and stores such as Amazon S3 Vectors), and prompt and context engineering. Experience with AWS applied AI services such as Amazon Bedrock, Amazon Bedrock AgentCore, Amazon Q Developer, Amazon Quick, and Kiro is a plus, but not required. You should be a strong communicator who can talk comfortably with anyone from a developer to a CEO, translating complex technical ideas into guidance people can actually act on. Previous AWS experience is nice to have but not required, as long as you've built and run large-scale AI systems in production. You'll get to work directly with senior engineers at customers, partners, and AWS service te…