Sr. Specialist Solutions Architect, Genai, Southern
hace 2 semanas
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
Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Data & AI background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data & AI GTM LATAM team as a GTM Specialist Solutions Architect At Amazon, we’ve been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience are driven by machine learning.
The Worldwide Specialist Organization (WWSO) works backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi
- billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
AWS is looking for a Generative AI Solution Architect, who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our Generative AI services. As part of the GTM Specialist Solutions Architecture team, you 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. 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.. You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review. You may continue to sponsor the creation of new products and features from these requirements, working closely with product and engineering teams to minimize requirements drift from your customer’s needs.
Key job 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 such as AWS Summit, AWS re: Invent, etc.
- 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.
- Customer Advisor
- Implement, and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers and with the academic community.
- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Active in the open source community, such as Hugging Face, Stable Diffusion, etc
- Large models pretrain/fine-tuning experience, familiar with distributed training
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