Senior AI/ML Solutions Architect, AWS Prototyping Expert
2 weeks ago
Are you a technology enthusiast with a passion for innovation? Do you thrive in environments where hands-on experimentation is valued over mere discussion? If you possess a deep understanding of cloud architectures and are quick to adapt to new technologies, we want to hear from you.
About the Role: As a Senior AI/ML Solutions Architect within the AWS Prototyping Team, you will play a pivotal role in transforming ideas into tangible prototypes. Your expertise will be crucial in collaborating with customers to explore innovative solutions and assess their technical viability.
Key Responsibilities:
- Collaborate with AWS Prototyping engagement managers, solutions architects, and customers to identify and define strategic AI/ML prototyping opportunities.
- Design, develop, and implement functional AI/ML prototypes tailored to customer needs.
- Extract and document best practices, reference architectures, and reusable patterns from engagements to benefit the global AWS community.
- Share valuable insights and lessons learned with AWS Service teams to enhance AWS offerings based on customer feedback.
- Deliver detailed technical presentations and demonstrations to both business and technical stakeholders in various settings.
- Willingness to travel, approximately 25% of the time.
About the Team: The AWS Prototyping team is dedicated to accelerating customer adoption of AWS and fostering a culture of innovation. By creating working prototypes of specific use cases, we help customers visualize complex applications of AWS services tailored to their unique data and systems.
Basic Qualifications:
- Minimum of 5 years of experience in relevant technology domains such as software development, cloud computing, or data analytics.
- Over 10 years of experience in design, implementation, or consulting for applications and infrastructures.
- Proficiency in utilizing managed AI/ML services and solutions.
Preferred Qualifications:
- In-depth knowledge of AWS services and their applications across various market segments.
- Experience in applying machine learning models to solve business challenges.
- Familiarity with programming languages such as Python, TypeScript, or Java.
- A demonstrated interest in emerging technologies, including large language models and generative AI.
- Experience in implementing cloud solutions in diverse business environments.
- Ability to communicate complex concepts effectively to customers and stakeholders.
Diversity and Inclusion: Amazon is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, gender, sexual orientation, disability, or any other legally protected status.
Compensation: Our compensation reflects the labor market across various geographic regions. The base pay for this position is competitive and varies based on experience and market location. In addition to base salary, we offer a comprehensive benefits package.
For more information, please refer to our career site.
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