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This involves engaging with consulting and technology partners and their customers to integrate AWS AIML services into their solutions and practices. In this hands-on technical specialist role, you will help our partners build complex AIML architectures.
You will own the technical engagement with partners and their ultimate success. In this role, you will be highly collaborative working across a broad set of teams and managing stakeholders. You will act as voice of partners internally with AWS services and Global Center of Excellence (CoE) teams.Key job responsibilities- Participate in deep architectural discussions to ensure AIML solutions are designed for successful deployment on AWS cloud.
- Dive deep with partners to build technical capabilities through 1:1 and 1-to-many training sessions, as per partner's needs.
- Be the thought leader on AWS AIML services.
- Author and contribute to AWS publications such as whitepapers, blogs.
- Build repeatable mechanisms, architectures, solutions, and playbooks.A day in the life
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
- Technology domain expertise in LLM, Machine Learning, Artificial Intelligence, and GenAI related fields. Hands-on understanding of open-source software, deep learning, and other ML algorithms with hands-on experience running pilots and POCs to demonstrate capabilities to prospects. Bachelor’s Degree Required.
- Min. 5+ years of design, implementation, or consulting in applications and infrastructures experience
- 15+ years of IT development or implementation/consulting in the software or Internet industries experience
- Must be bilingual – can write and speak well in both English and Korean languages
- Preferred qualifications
- 8+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of Full AIML Services and Hands-on-experience on AWS Services e.g., Amazon Sagemaker Jumpstart, Amazon Sagemaker Hyperpod, Bedrock, Amazon Q Business and Developer and their architecture and infrastructure.
- Experience working with end user or developer communities
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