Senior Applied AI Architect, Applied AI & Data Architecture (AIDA) jobs in United States
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Amazon · 3 weeks ago

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

Amazon 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 ML workloads to drive successful business outcomes.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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H1B Sponsor Likelynote

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

Generative AIMachine LearningCloud ComputingFull Stack DevelopmentData AnalyticsConsultingArchitecture DesignCustomer Advocacy

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

Equity
Sign-on payments
Full range of medical, financial, and/or other benefits

Company

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

H1B Sponsorship

Amazon 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
Public Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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Company data provided by crunchbase