Description
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

The Amazon Web Services Industry (AWSI) Professional Services APJ (Japan) team is a consulting organization that works with our global enterprise customers in various industries to achieve their business outcomes securely and faster in the cloud. Through project-based support, our security consultants work with our customers on innovative solutions that promote cloud technology for the purpose of solving customer business problems faster and for long-term business expansion.

Amazon Web Services (AWS) is looking for highly talented hands on technical architects to help accelerate our growing business. This is an excellent opportunity to join Amazon's world class technical teams, working with some of the best and brightest engineers while also using and expanding your skills working hands on with the future of everything.

Professional Services engages in a wide variety of projects for customers and partners, spanning diverse technologies across multiple industries. The Modernization Practice collaborates across the entire organization to deliver the best solutions for customers, connect with product and service teams, and drive feature innovation based upon customer needs. As trusted customer advocates, the Practice helps organizations understand best practices around advanced -based solutions, and how to migrate and/or re-develop existing workloads in the cloud. You will help shape, execute, and deliver solutions for a broad range of customer use cases primarily from large customers.

This is not a pure technical role, nor is it a pure selling role. It is an individual with a unique modernization and native development expertise, hands-on building, coupled with cross-industry business acumen, including a heavy dose of passion for continued knowledge acquisition and growth, obsession for customers, and their success using that will align well with the desired outcomes to be produced.

aws-jp-proserv-ap

AWSJapan

Key job responsibilities

• Leading complex projects with autonomy and discretion, often involving multiple Amazon, customer and partner teams.
• Working with customers and partners, leading them through planning, prioritization and delivery of complex transformation and migration initiatives, while collaborating with relevant Sales, Service, and Support Teams.
• Designing and delivering solutions that solve for new levels of complexity, scale and performance, and in turn, enable breakthrough innovations.
• Creating and applying frameworks, methods, best practices and artifacts that deliver prescriptive guidance to customers, and publish and present them in large forums and across various media platforms.
• Guiding customers' technical architecture and investments, maximizing alignment with the platform, and ease of adoption as new services and products become available.

An Ideal Candidate Will Be Able To

• Helping customers architect scalable, highly available solutions that leverage services;
• Architecting and developing customer applications to be optimized;
• Working as a technical leader alongside customer business, development and teams;
• Providing deep software development knowledge with respect , design patterns and programming;
• Advising and implementing best practices;
• Implementing practices such as as code, continuous and automated deployment leveraging Generative AI

A day in the life

About AWS
Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.

Basic Qualifications

• Experience coding in Python, R, Matlab, Java or other modern programming language
• Experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inferences)
• Basic understanding of deep learning (e.g., CNN, RNN, LSTM, Transformer), Large Language Models, Large Multimodal Models and other GenAI Models such as Stable Diffusion and their finetuning and distributed training strategies

Preferred Qualifications

• Strong working knowledge of deep learning, machine learning and statistics
• Experiences related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2 or other large scale cloud providers' services
• Experiences related to Large Language Models, Large Multimodal Models or other GenAI Models such as Stable Diffusion and their finetuning and distributed training strategies
• Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company
- Amazon Web Services Japan GK

Job ID: A3116306