Amazon Web Services (AWS) · 5 days ago
Senior Applied AI Architect, Applied AI & Data Architecture (AIDA)
San Diego, CA
Full-time
Onsite
Senior Level
$138K/yr - $239K/yr
7+ years expAmazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. The Senior Applied AI Architect will partner with customers to design and build scalable cloud architectures and solutions, focusing on generative AI and machine learning workloads. This role involves educating clients, driving successful business outcomes, and ensuring best practices in cloud-based solutions.
ConsultingDevOpsInformation TechnologySoftwareWeb Development
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
Qualification
Required
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
Preferred
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
Benefits
Full range of medical, financial, and/or other benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
10001+ employees
H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Matt Garman
Chief Executive Officer
Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
Recent News
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