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hace 2 meses
Amazon is seeking a highly skilled Senior AI Solutions Architect to join our Worldwide Specialist Organization (WWSO) Data & AI GTM LATAM team. As a key member of this team, you will be responsible for providing expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses.
The ideal candidate will have deep technical experience working with technologies related to multimodal, image generation, from model fine-tune to prompt engineering. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help Amazon Web Services customers in their selection process.
The Senior AI Solutions Architect will work closely with other Specialist Machine Learning Architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for ML/AI platforms. You will interact with other Solution Architects in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage ML/AI on Amazon Web Services.
Key Responsibilities- Thought Leadership – Evangelize AWS AI/ML, GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events.
- Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements.
- Act as a technical liaison between customers and the AWS SageMaker services teams to provide customer driven product improvement feedback.
- Develop and support an AWS internal community of ML related subject matter experts worldwide.
- Customer Advisor- Implement, and deploy state of the art machine learning algorithms under Gen AI.
- 7 years of design, implementation, or consulting in applications and infrastructures experience
- 5+ years management of technical, customer facing resources
- 5 years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
