Amazon Web Services (AWS)
Senior Applied AI Architect, Applied AI & Data Architecture (AIDA)
Amazon Web Services (AWS), San Diego, California, United States, 92189
Overview
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and stalwart support. We dive deep to understand each customer’s unique challenges, then craft innovative solutions that accelerate their success. This customer‑first approach is how we built the world’s most adopted cloud. Join us and help us grow.
Role The Amazon Web Services (AWS) Senior Applied AI Architect partners with customers to design and build advanced cloud architectures and solutions. As a trusted customer advocate, you help organizations understand best practices around cloud‑based solutions and provide guidance on building, migrating, and scaling generative AI & ML workloads.
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. Travel is mostly regional, expected 15‑20%.
Key Job Responsibilities
Ensure success in designing, building, and migrating applications, software, and services on the AWS platform.
Interact with customers directly to understand business problems and aid them in implementation of their AI/ML ecosystem.
Educate customers on the value proposition of AWS and showcase possibilities.
Participate in deep architectural discussions and design exercises to create world‑class solutions on AWS, ensuring successful deployment.
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 within the AWS Architect community.
Basic Qualifications
5+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics.
3+ years of design, implementation, or consulting in applications and infrastructures.
7+ years of IT development or consulting in software or internet industries.
Hands‑on experience architecting and deploying full‑stack generative AI workloads to production systems.
Preferred Qualifications
Experience optimizing production generative AI or hybrid AI workloads for cost, latency, and resilience.
PhD in Computer Science with specialization in Machine Learning, Deep Learning, or Natural Language Processing — or a Master’s with strong AI/ML focus.
Knowledge of large‑scale automation and workflow management or equivalent.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence, communicating effectively, and following all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
Our compensation reflects the cost of labor across several U.S. geographic markets. Base pay ranges from $138,200/year at the lowest market to $239,000/year at the highest. Pay is based on location, experience, and skills. Equity, sign‑on, and other compensation may be provided. Additional benefits described on Amazon’s website.
Job ID: A3142432
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Consulting, Information Technology, and Engineering
Industries: IT Services and IT Consulting
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Role The Amazon Web Services (AWS) Senior Applied AI Architect partners with customers to design and build advanced cloud architectures and solutions. As a trusted customer advocate, you help organizations understand best practices around cloud‑based solutions and provide guidance on building, migrating, and scaling generative AI & ML workloads.
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. Travel is mostly regional, expected 15‑20%.
Key Job Responsibilities
Ensure success in designing, building, and migrating applications, software, and services on the AWS platform.
Interact with customers directly to understand business problems and aid them in implementation of their AI/ML ecosystem.
Educate customers on the value proposition of AWS and showcase possibilities.
Participate in deep architectural discussions and design exercises to create world‑class solutions on AWS, ensuring successful deployment.
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 within the AWS Architect community.
Basic Qualifications
5+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics.
3+ years of design, implementation, or consulting in applications and infrastructures.
7+ years of IT development or consulting in software or internet industries.
Hands‑on experience architecting and deploying full‑stack generative AI workloads to production systems.
Preferred Qualifications
Experience optimizing production generative AI or hybrid AI workloads for cost, latency, and resilience.
PhD in Computer Science with specialization in Machine Learning, Deep Learning, or Natural Language Processing — or a Master’s with strong AI/ML focus.
Knowledge of large‑scale automation and workflow management or equivalent.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence, communicating effectively, and following all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
Our compensation reflects the cost of labor across several U.S. geographic markets. Base pay ranges from $138,200/year at the lowest market to $239,000/year at the highest. Pay is based on location, experience, and skills. Equity, sign‑on, and other compensation may be provided. Additional benefits described on Amazon’s website.
Job ID: A3142432
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Consulting, Information Technology, and Engineering
Industries: IT Services and IT Consulting
#J-18808-Ljbffr