A

Amazon

Sells products online and rents cloud computing

Senior AI Specialist Solutions Architect

Full-TimeUpdated on 10/15/2026
No salary listed
Senior
Master's, PhD
Tokyo, Japan
In Person
Solution EngineeringPre-Sales Solution Engineering

About the job

Requirements
  • At least 7 years of experience in the design, implementation, operations, or consulting of distributed applications.
  • At least 4 years of experience managing technical, enterprise customer-facing resources, or equivalent experience.
  • At least 5 years of experience designing and implementing production AI systems.
  • Experience implementing AI solutions that may include integrating large language models or multimodal foundation models into large-scale systems, fine-tuning large language models, deploying and performing distributed inference of large language models, retrieval-augmented generation, foundation model evaluation, vector databases, agentic workflows, prompt and context engineering, and machine learning operations.
Responsibilities
  • Build technical relationships with customers of all sizes and serve as a trusted advisor, helping them get the most from the cloud as they adopt generative AI, machine learning, and agentic technologies.
  • Manage the overall technical relationship between AWS and its customers, recommending approaches to security, cost, performance, reliability, and operational efficiency to accelerate complex generative AI, machine learning, and agentic projects.
  • Share customer needs and feedback internally to inform the roadmap for AWS generative AI, machine learning, and agentic features.
  • Define cloud-native generative AI, machine learning, and agentic architectural patterns for varied use cases.
  • Create and share best practices, technical content, and reference architectures, including white papers, code samples, and blog posts; educate customers, partners, and the AWS Technical Field about running generative AI, machine learning, and agentic workloads on AWS through workshops, user groups, meetups, public speaking, online videos, or conferences.
  • Lead hands-on technical deep dives and workshops, and contribute reusable code, reference architectures, and internal technical assets for the broader engineering organization.
Desired Qualifications
  • Hands-on experience with AWS services and ecosystems, including Amazon Bedrock, AgentCore, and SageMaker, to establish secure private-network AI environments; practical experience implementing retrieval-augmented generation using embeddings, vector stores, and semantic search optimization.
  • Ability to communicate effectively with diverse internal and external audiences.
  • Ability to influence customer and internal business decision-makers as a technical thought leader.
  • Cloud technology certification, such as Solutions Architecture, Cloud Security Professional, or Cloud DevOps Engineering.
  • Ability to lead complex projects and deliver extensible, operationally excellent, cost-optimized solutions aligned with desired outcomes.
  • Ability to lead a team or small organization-wide initiative with partially defined business objectives.
  • Ability to determine solution strategy and identify where to simplify or extend solutions to achieve the best outcome.
  • Master's degree in computer science, mathematics, statistics, or machine learning, or a PhD; experience running and fine-tuning large and small language models using techniques such as LoRA/QLoRA, instruction tuning, and reinforcement learning from human feedback to optimize for domain-specific tasks.

About the company

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company Size

10,001+

Company Stage

IPO

Headquarters

Seattle, Washington

Founded

1994

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Simplify Jobs

Simplify's Take

What believers are saying

  • AI drives growth: AWS's AI and custom-chip sales each more than doubled, passing $25 billion a year by June 2026.
  • Stock grants gained value: shares hit a record in August 2026, making Amazon the fifth company to reach $3 trillion.
  • Ads are a third engine beside stores and AWS: they grew 26% to $19.8 billion in the June 2026 quarter.

What critics are saying

  • AWS's lead is shrinking: in the June 2026 quarter, Google Cloud grew 82% and Microsoft's Azure 43%, versus AWS's 37%.
  • Job security has slipped: Amazon cut 30,000 corporate jobs in October 2025 and January 2026 to reduce management layers.
  • Expect five office days a week: Amazon ended its three-day hybrid policy for corporate staff in January 2025.

What makes Amazon unique

  • Most of Amazon's profit comes from cloud: AWS made 21% of sales but 60% of operating profit in mid-2026.
  • Amazon is America's biggest parcel carrier by volume: it handled 6.9 billion packages in 2025, more than the Postal Service.
  • Writing matters more than slides: Amazon meetings open with silent reading of a six-page memo instead of PowerPoint.

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Benefits

Flexible Work Hours

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

2%

2 year growth

1%
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