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

Amazon Web Services (AWS); Dallas (TX); On-site; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking team dedicated to transforming customer success through innovative AI solutions. As a member of the Amazon Q Customer Success Team, you'll leverage your expertise in cloud architecture and AI technologies to design and implement scalable solutions. Collaborate with a diverse group of technologists, mentor colleagues, and engage with customers to deliver impactful AI solutions while ensuring security compliance. Enjoy a culture that values diversity, work-life balance, and offers ample growth opportunities in the exciting field of generative AI.

Qualifications

• 3+ years in cloud architecture and solution implementation.
• Experience with databases and software development.

Responsibilities

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

Skills

Cloud Architecture

AI/ML Solutions

Software Development

Database Management

CI/CD Implementation

Communication Skills

Education

Bachelor's Degree

5+ years Professional Experience

Tools

AWS AI/ML Services

SQL

NoSQL

Hadoop

Spark

Kafka

Kinesis

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 deep knowledge of AWS data services and analytics to collaborate with sales and partners, proposing, architecting, and implementing transformational solutions that enable customer success with 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-effectiveness
• Sharing knowledge and developing reusable frameworks for AI deployment
• Guiding teams on integrating AI solutions, considering user experience and accessibility
• Ensuring security compliance and best practices in AI deployment

A typical day involves: Connecting with global team members, reviewing AI architectures, participating in design sessions, collaborating on AI interface improvements, mentoring colleagues, and engaging with customers to understand their needs and present solutions.

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

Qualifications:

Basic:

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

Preferred:

• Experience leading AI/ML workloads architecture and implementation
• Proven record of delivering scalable enterprise Gen AI solutions
• Experience in international consulting or professional services sales/delivery
• Strong CI/CD implementation experience
• Knowledge of security and compliance standards (HIPAA, GDPR)
• Excellent communication skills for technical and non-technical audiences
• Experience selling consulting or professional services

We value diversity and encourage candidates with varied backgrounds to apply. We support work-life balance, foster an inclusive culture, and offer mentorship and growth opportunities.