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

Amazon Web Services (AWS); New York (NY); On-site; USD 118,000 - 205,000; Full time

Job summary

A leading company is seeking an Amazon Q Builder to join their Customer Success Team, focusing on innovative Generative AI solutions using AWS technologies. The role involves collaboration across teams and time zones, implementing AI solutions, ensuring security compliance, and mentoring colleagues. Candidates should have significant experience in data services and analytics, particularly with SQL and BI tools like QuickSight, and a strong background in AI/ML techniques. This position offers competitive compensation, additional benefits, and an inclusive work environment.

Qualifications

• 3+ years in applications and infrastructure design or implementation.
• 2+ years of experience in AI/ML experimentation or implementation.
• Experience creating dashboards with BI tools.

Responsibilities

• Design and implement enterprise-scale Generative AI solutions.
• Guide teams on AI solution integration and ensure security compliance.
• Optimize AI application performance and scalability.

Skills

SQL

Data Engineering

AI/ML

Software Development

BI tools

Education

Bachelor’s degree or equivalent experience

Tools

QuickSight

Tableau

PowerBI

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 Description

AWS is known for its customer obsession. Our Professional Services teams help customers succeed using AWS technologies, including leveraging Gen AI capabilities. Amazon Q-CST members utilize their expertise in AWS data services and analytics to collaborate with sales and partners, proposing, architecting, and implementing transformational solutions that incorporate AWS Gen AI services.

Responsibilities include:

• Designing and implementing enterprise-scale Generative AI solutions with Amazon Q and AWS AI/ML services
• Optimizing AI application performance, scalability, and cost-efficiency
• Sharing knowledge and developing reusable AI deployment frameworks
• Guiding teams on AI solution integration, considering user experience and accessibility
• Ensuring security compliance in AI implementations

A typical day involves: collaborating across time zones, reviewing AI architectures, participating in design sessions, mentoring colleagues, and engaging with customers to understand their needs and present solutions.

About the team: We are a diverse group passionate about making AI accessible and ethical, pushing the boundaries of generative AI technologies.

Qualifications include:

• 3+ years in applications and infrastructure design or implementation
• 2+ years with SQL, BI platforms, or data engineering
• 2+ years in software development with object-oriented languages
• 2+ years creating dashboards with BI tools like QuickSight, Tableau, PowerBI, etc.
• 1+ years in AI/ML experimentation or implementation

Preferred qualifications:

• Experience in AI/ML architecture and implementation
• Proven enterprise-scale Gen AI solution delivery
• Consulting or professional services experience
• Strong CI/CD skills
• Excellent communication skills
• Bachelor’s degree or 5+ years of professional/military experience

Amazon is an equal opportunity employer. For accommodations during the hiring process, visit https://amazon.jobs/content/en/how-we-hire/accommodations. The salary range varies by location, from $118,200 to $204,300 annually, with additional benefits and compensation options.

This position remains open until filled. Apply via our careers site.