Customer Success Builder Amazon Q Customer Success Team Q-CST

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 QCST 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. QCST Builders are responsible for architecting and developing endtoend solutions that leverage Generative AI technologies like Amazon Q 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 ProServes delivery best practices to maintain operational excellence.

Key job responsibilities
Design and develop Amazon Q and Gen AI Application architectures for various applications such as text generation image synthesis and data augmentation while ensuring compliance with Amazons best practices and guidelines.
Develop and implement strategies for training finetuning and optimizing generative AI Application Design to ensure high performance scalability and costeffectiveness leveraging Amazons AI/ML services and infrastructure.
Support the integration of Gen AI applications into existing 3rd Party applications like SAML (Okta Azure AD) with AWS Services like IDC DynamoDB ensuring seamless integration scalability and adherence to security best practices.
Collaborate with crossfunctional teams such as Gen AI Strategists Customer Project Managers user experience designers and AWS AI/ML specialists to ensure the effective integration of generative AI outputs into enduser applications while considering user experience accessibility and ethical implications.
Collaborate with Customer and AWS Security specialists to design deliver and maintain secure and resilient Gen AI solutions adhering to Amazons security and compliance standards.
Lead and contribute the development of reusable tools libraries and frameworks for building and deploying Amazon Q Applications fostering collaboration and knowledge sharing within the Amazon AI/ML community.

About the team
The AWS Amazon QCST leverages 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.

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Knowledge of the primary aws services (ec2 elb rds route53 & s3
Experience implementing AWS services in a variety of distributed computing environments
Experience developing software code in one or more programming languages (java python etc.

5 years of IT implementation experience
Experience and technical expertise (design and implementation) in cloud computing technologies
Experience leading the design development and deployment of business software at scale or recent handson technology infrastructure network compute storage and virtualization experience

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