Amazon Q Builder, Amazon Q Customer Success Team (Q-CST)

Amazon Web Services (AWS); Atlanta (GA); On-site; USD 118,000 - 205,000; Full time

Job summary

Amazon Web Services (AWS) is seeking an Amazon Q Builder to join their Customer Success Team. This role involves designing and implementing Generative AI solutions, optimizing performance, and ensuring security compliance. Candidates should have a strong background in cloud architecture and AI technologies, with opportunities for mentorship and career growth.

Benefits

Flexible work arrangements

Culture of inclusion

Mentorship opportunities

Comprehensive benefits

Qualifications

• 3+ years of experience in cloud solution architecture or consulting.
• 3+ years working with databases and software development.
• Experience leading AI/ML workloads is preferred.

Responsibilities

• Design and implement enterprise-scale Generative AI solutions.
• Optimize AI application performance and scalability.
• Guide teams in integrating AI solutions focusing on user experience.

Skills

Cloud solution architecture

Databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)

Software development

AI/ML workload management

Communication skills

Education

Bachelor's degree

Job description

Amazon Q Builder, Amazon Q Customer Success Team (Q-CST)

Join to apply for the Amazon Q Builder, Amazon Q Customer Success Team (Q-CST) role at Amazon Web Services (AWS)

Job Overview

AWS is known for its customer obsession. Our Professional Services teams help customers succeed using AWS technologies, especially in leveraging Gen AI capabilities. Amazon Q-CST members utilize their expertise in AWS data services and analytics to design, architect, and implement transformational solutions, making customer success a reality with AWS Gen AI services.

Responsibilities

• Design and implement enterprise-scale Generative AI solutions using Amazon Q and AWS AI/ML services
• Optimize AI application performance, scalability, and cost-effectiveness
• Develop reusable frameworks for AI deployment and share knowledge within teams
• Guide teams and stakeholders in integrating AI solutions, focusing on user experience and accessibility
• Ensure security compliance and best practices in AI deployment

A Day in the Life

Your day involves collaborating with global teams, reviewing AI architectures, participating in design sessions, and mentoring colleagues. You will also engage with customers to understand their needs and present AI solutions.

About the Team

Our diverse team of technologists is passionate about making AI accessible and ethical. We support continuous growth and push the boundaries of generative AI innovation.

Qualifications

Basic Qualifications

• 3+ years of experience in cloud solution architecture, consulting, or professional services
• 3+ years working with databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
• 3+ years of software development using object-oriented languages
• Bachelor's degree or 5+ years of professional/military experience

Preferred Qualifications

• Experience leading AI/ML workloads and enterprise-scale Gen AI projects
• Proven success in delivering scalable solutions in complex environments
• Experience in consulting, professional services sales, and delivery
• Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
• Strong communication skills for technical and non-technical audiences

Additional Information

We value diversity and encourage candidates from varied backgrounds to apply. AWS offers flexible work arrangements, a culture of inclusion, mentorship, and career growth opportunities. Compensation ranges from $118,200 to $204,300 annually, depending on location and experience. We provide comprehensive benefits and total compensation packages.