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You will do this by mobilizing AWS and Amazon teams and working directly with customers and partners to identify and implement accelerators for AWS Cloud services adoption using GenAI, AI and ML. You will work with a team of SAs who- Are known for high velocity assessment, prioritization, and build of quality, innovative solutions.- Actively contribute to solution design enhancement initiatives across AWS.Key job responsibilities
In your role of Principal Solution Architect-GenAI in the AGS TAS organization you will
- Apply your deep expertise in GenAI prompt engineering, user experience design, data management and architecture to accelerate the development of innovative scalable end user productivity solutions that leverage GenAI- 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 Summits, AWS re:Invent, Tech Summits.- Benchmark continuously to elevate the innovation, quality and delivery speed of solutions.
- Identify and implement opportunities to integrate TAS open source approaches into AGS tech and AWS cross organization operating model.Diverse Experiences
AWS 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 Growth
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.Work/Life Balance
- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
- Experience with CI/CD solutions in the context of MLOps and LLMOps, including automation with IaC
- Knowledge of distributed systems design and implementation or equivalent
- Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
- Knowledge of large-scale automation and workflow management or equivalent
- Knowledge of database design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers.
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
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