Amazon Web Services Japan GK
Technology
AmazonQuickDeliveryEngineer,AmazonQuickCustomerSuccessTeam(Q-CST)
Neural analysis suggests this role is
optimal for Mid candidates.
“Amazon Quick Delivery Engineer, Amazon Quick Customer Success Team (Q-CST) at Amazon Web Services Japan GK. Skills: Generative AI, AWS Gen AI, Solution architecture. Architect and develop end-to-end solutions. Design and implement solution blueprints”
Industry & Context.
What They're Looking For.
Must Have
3+ years software development experience, 2+ years design or architecture experience, Experience programming at least one language
Nice to Have
3+ years full software development life cycle experience, Bachelor's degree in computer science
What You'll Do.
Architect and develop end-to-end solutions
Design and implement solution blueprints
Integrate Generative AI capabilities
Translate requirements into specifications
Develop scalable and secure solutions
Provide guidance on data preparation
Provide guidance on model training
Provide guidance on deployment strategies
Ensure successful implementation
Ensure adoption of solutions
Provide weekly customer updates
Maintain SFDC hygiene
Adhere to delivery best practices
Design Gen AI architectures
Develop strategies for optimization
Support integration of Gen AI applications
Collaborate with cross-functional teams
Ensure effective integration of outputs
Design secure and resilient solutions
Adhere to security standards
Lead development of reusable tools
Contribute to reusable libraries
Contribute to reusable frameworks
How You'll Work.
Team & Collaboration
Cross-functional teams; Sales teams; Partner teams; Customer stakeholders; Gen AI Strategists; Customer Project Managers; User experience designers; AWS AI/ML specialists; AWS Security specialists
Full Job Description
AWS is known for its relentless customer obsession. Our Professional Services teams are on the front line of helping customers succeed using AWS technologies that align with the new ways of managing people and rearchitecting critical processes to leverage the capabilities of Gen AI. Amazon Q-CST Customer Success Team (CST) members leverage their deep knowledge of AWS data services and data analytics in collaboration with our sales and partner teams to propose, architect, and implement transformational solutions for customers. We make customer success a reality using AWS Gen AI services as an enabler. Q-CST Builders are responsible for architecting and developing end-to-end solutions that leverage Generative AI technologies like Amazon Quick and Bedrock. This role involves designing and implementing robust solution blueprints that seamlessly integrate Generative AI capabilities into existing systems or applications. Builders collaborate closely with Strategists and customer stakeholders to understand their requirements, translates them into technical specifications, and develops scalable and secure Generative AI solutions. Additionally, they provide guidance on data preparation, model training, and deployment strategies to ensure successful implementation and adoption of Generative AI solutions within the organization. Builders are responsible for weekly customer updates and SFDC hygiene, adhering to ProServe's delivery best practices to maintain operational excellence. Key job responsibilities - Design and develop Amazon Quick and Gen AI Application architectures for various applications, such as text generation, image synthesis, and data augmentation, while ensuring compliance with Amazon's best practices and guidelines. - Develop and implement strategies for training, fine-tuning, and optimizing generative AI Application Design to ensure high performance, scalability, and cost-effectiveness, leveraging Amazon's AI/ML services and infrastructure. - Support the inte
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