Amazon Senior Worldwide Specialist Solutions Architect - GenAI Data & AI 

United States, New York, New York 

838927101

Key job responsibilities
- Customer Advisor- Implement, and deploy state of the art GenAI solutions. 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.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

- 3+ years of experience in end-to-end technical architecture, design, deployment and operations for Generative AI/ML platforms and applications.
- 3+ year experience working with technologies related to large language models including LLM architectures, model evaluation, adapters, model customization including pre-training and fine-tuning techniques.
- Experience with Agentic infrastructure frameworks such as bedrock AgentCore, Google Vertex Al Agent SDK/ADK, similar agentic platforms, or migration between agent runtimes
- 2+ year Experience with identity and credential management service designed specifically for AI agents and automated workloads
- Experience with orchestration frameworks such as CrewAI, LangGraph, LLAMA Index, AutoGen etc
- Proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, engineering, or computer science.