Amazon Senior Solutions Architect - GenAI Machine Learning AGS US Specialist SA 

United States, New York, New York 

615722179

Key job responsibilities
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Participate as a leader in AWS technical communities.
- Thought Leadership and External Representation: Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences, such as AWS re:Invent.
About AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred 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.Mentorship & Career GrowthWe’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.Work/Life Balance

- 5+ years of design, implementation, or consulting in applications and infrastructures experience
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 5+ years of technology/software sales experience
- Experience with Python to analyze datasets, train , evaluate, deploy, fine-tune, and optimize models.
- Experience designing, developing, and optimizing high-quality prompts and templates that guide LLM behavior.
- Experience with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience