Sr. GenAI Specialist Solutions Architect - Retail/CPG

Sr. GenAI Specialist Solutions Architect - Retail / CPG

Job ID : 2787550 Amazon Development Center U.S., Inc.

Do you have the right skills and experience for this role Read on to find out, and make your application.

Are you passionate about Generative AI (GenAI)? Do you want to help define the future of Go to Market (GTM) at Amazon Web Services (AWS) using generative AI?

In this role, you will help our customers build and deploy GenAI enabled applications using Amazon Bedrock and SageMaker, fine tune and build Generative AI models, and help enterprise customers leverage these models to power end applications.

You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services.

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 Worldwide 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.

Key job responsibilities

• Thought Leadership Evangelize AWS 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 Solution Architects, Sales, Business Development and the AI / ML Service teams to accelerate customer adoption and provide 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.
• Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.
• Customer Advisor - Implement, and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, PoCs, and explore new solutions.

About the team

The Worldwide Specialist Organization (WWSO) works backwards from customers to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses, and pride themselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

BASIC QUALIFICATIONS

• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 3+ years of design, implementation, or consulting in applications and infrastructures experience
• 10+ years of IT development or implementation / consulting in the software or Internet industries experience

PREFERRED QUALIFICATIONS

• 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 HuggingFace, StableDiffusion, etc.
• Large models pretrain / fine-tuning experience, familiar with distributed training

Compensation

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200 / year in our lowest geographic market up to $239,000 / year in our highest geographic market.

Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

This position will remain posted until filled. Applicants should apply via our internal or external career site.

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