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Amazon SDE Partner Intelligence 
United States, Washington, Seattle 
247770629

14.08.2024
DESCRIPTION

The AWS Partner Intelligence is seeking a Software Development Engineer to help build and scale a solution landing zone for GenerativeAI tools and insights delivery. This is a high-visibility position focused on enabling a global organization of Builders, Scientists, BIEs and other SDEs with a robust, secure and highly reliable delivery channel for internal GenerativeAI workstreams. In this role you will work senior engineers and scientists to dive deep on the status quo and deliver on bold, long-term solution designs.Key job responsibilities
A day in the life
- Research, prototype and recommend novel architectures
- Engage with a broad range of peers and stakeholders across Data Engineering, Science and Software Engineering to develop a best-in-class suite of GenerativeAI solutions.
About AWSDiverse Experiences
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.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

BASIC QUALIFICATIONS

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language


PREFERRED QUALIFICATIONS

- 2+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
- 2+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience
- Bachelor's degree in computer science or equivalent