The point where experts and best companies meet
Share
AGS Area Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems.Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.
Key job responsibilities
• Educate customers of all sizes on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud
• Conduct one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS
• Capture and share best-practice knowledge amongst the AWS solutions architect community
• Author or otherwise contribute to AWS customer-facing publications such as whitepapers
• Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates
• Act as a technical liaison between customers, partners, service engineering teams and support
• Expect international and domestic business trip.About AWSDiverse 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
Seoul, KOR
- Machine Learning (ML), Deep Learning (DL), Artificial Intelligence (AI) and GenAI experience.
- 10+ years of experience working with software development, AI, ML and Deep Learning
- 10+ years of customer-facing experience, preferably in the enterprise space
- Experience developing solutions and passion for getting hands dirty with code/scripting (e.i., python, java, c#, .NET, Node.js)
- 10+ years hands-on experience building complex solutions
- An advanced degree in computer science, engineering or mathematics
- Knowledge and/or experience in one or more of the following: (1) Data Streaming Services and OpenSearch, (2) Database
- Strong verbal and written communications skills.
- Meets/exceeds Amazon’s leadership principles requirements for this role
- Meets/exceeds Amazon’s functional/technical depth and complexity for this role
- Fluency in English
These jobs might be a good fit