Senior Applied AI Architect, Applied AI & Data Architecture (AIDA)

Amazon•San Diego, CA

11d

About The Position

The Amazon Web Services (AWS) Senior Applied AI Architect partners with customers to design and build some of the most scalable, flexible and resilient cloud architectures and solutions. AWS Applied AI Architects collaborate with AWS Sales and other AWS teams to help address customer business challenges and accelerate the adoption of AWS services. As a trusted customer advocate, Applied AI Architects help organizations understand best practices around advanced cloud-based solutions, and provide advice on strategies for for building, migrating, and scaling generative AI & ML workloads in the cloud. You’ll help drive successful business outcomes across a broad set of enterprise customers through your passion for educating, training, designing and building cloud solutions. As a Senior Applied AI Architect, you will use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock, Amazon Q and other technologies to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You’ll help drive successful business outcomes across a broad set of customers through your passion for educating, training, designing and building cloud hosted Generative AI solutions. You will design and develop generative AI industry solutions that involves large-scale data processing and modeling. You will have responsibility to help define requirements, create solution designs, implement code to these specifications, and support solutions while deployed and used by our industry customers. You will have the opportunity to help shape and execute a strategy to build deep adoption and broad use of AWS within your customers, and you will do this by mobilizing resources within AWS and working with our extensive partner network.

Requirements

5+ 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
7+ years of IT development or implementation/consulting in the software or Internet industries experience
Hands on experience architecting and deploying full stack generative AI workloads to production systems.

Nice To Haves

Experience optimizing production generative AI or Hybrid AI workloads for optimal cost, latency, and/or resilience
PhD in Computer Science with specialization in Machine Learning, Deep Learning, or Natural Language Processing - or - Masters in Computer Science with strong AI/ML focus
Knowledge of large scale automation and workflow management or equivalent

Responsibilities

Ensure success in designing, building and migrating applications, software, and services on the AWS platform.
Interact with customers directly to understand the business problem, help and aid them in implementation of their AI/ML ecosystem
Educate customers on the value proposition of AWS and showcase the art of possible.
Participate in deep architectural discussions and design exercises to create world-class solutions built on AWS while ensuring solutions are designed for successful deployment in the cloud.
Author and contribute to AWS customer-facing publications such as whitepapers, workshops, demos and proof of concepts.
Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates.
Capture and share best-practice knowledge amongst the AWS Architect community.