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 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 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, translate them into technical specifications, and develop 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
1. 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 Amazon's best practices and guidelines.
2. 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.
3. 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.
4. Collaborate with cross-functional 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 end-user applications, while considering user experience, accessibility, and ethical implications.
5. Collaborate with Customer and AWS Security specialists to design, deliver, and maintain secure and resilient Gen AI solutions, adhering to Amazon's security and compliance standards.
6. Lead and contribute to 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 Q-CST 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.
Minimum Requirements
1. Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3).
2. Experience implementing AWS services in a variety of distributed computing environments.
3. Experience developing software code in one or more programming languages (Java, Python, etc.).
4. 5+ years of IT implementation experience.
5. Experience and technical expertise (design and implementation) in cloud computing technologies.
6. Experience leading the design, development, and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience.
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