Senior Solutions Architect for Generative AI
hace 20 horas
Amazon is seeking a highly skilled Senior Solutions Architect to lead the development of innovative Generative AI solutions. As a key member of the Worldwide Specialist Organization (WWSO) Data & AI GTM LATAM team, you will work closely with customers, partners, and Amazon Web Services service teams to drive the adoption of Amazon Web Services for ML/AI platforms.
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.
As a Senior Solutions Architect, you will be responsible for providing technical guidance and expertise to customers and partners, developing white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage ML/AI on Amazon Web Services. You will also create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services ML solutions into customer architectures.
The successful candidate will have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions.
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.
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