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

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

Job summary

Join a leading technology company to help transform customer success through AI implementation. The role focuses on leveraging AWS technologies to create innovative solutions, requiring expertise in data services and generative AI. Join a team dedicated to fostering growth and pushing the boundaries of cloud technology.

Benefits

Flexible working culture

Mentorship and career growth opportunities

Inclusive team culture

Qualifications

• 3+ years in applications/infrastructures design or consulting.
• 2+ years in SQL or data engineering.
• 2+ years in software development with object-oriented languages.

Responsibilities

• Design enterprise-scale Generative AI solutions using Amazon Q.
• Guide teams in AI solutions integration considering user experience.
• Develop data models and provide deployment strategies.

Skills

Data Analytics

Generative AI

Solution Architecture

SQL

Business Intelligence

Education

Bachelor's degree or Master's degree

Tools

Tableau

PowerBI

QuickSight

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)

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

1 week ago Be among the first 25 applicants

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

Description

AWS is known for its 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.

Description

AWS is known for its 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, 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.

Key job responsibilities

• Design and implement enterprise-scale Generative AI solutions using Amazon Q and AWS AI/ML services
• Create strategies for optimizing AI application performance, scalability, and cost-effectiveness
• Foster knowledge sharing and develop reusable frameworks for AI application deployment
• Guide cross-functional teams in integrating AI solutions while considering user experience and accessibility
• Ensure security compliance and best practices in AI implementation
  
  

A day in the life

You'll start your day connecting with team members across different time zones, reviewing AI application architectures, and providing guidance on implementation approaches. You might participate in technical design sessions, collaborate with UX designers on AI interface improvements, or mentor colleagues on AI best practices. Your afternoon could involve working with customers to understand their needs and presenting AI solution proposals.

About The Team

We are a diverse group of technologists passionate about making AI accessible and valuable to enterprises. Our team combines technical expertise with a commitment to ethical AI development. We support each other's growth while pushing the boundaries of what's possible with generative AI technologies.

About Aws

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

• 3+ years of design, implementation, or consulting in applications and infrastructures
• 2+ years of experience with one of the following: SQL, Business Intelligence platforms, data engineering
• 2+ years of software development with object-oriented language experience
• 2+ years of experience developing dashboards with a Business Intelligence platform such as QuickSight, Tableau, PowerBI, Looker, Thoughtspot, Microstrategy, Sisense, Domo, etc.
• 1+ years of AI/ML implementation or experimentation (e.g., Generative AI, Generative BI, Agentic AI)
  
  

Preferred Qualifications

• Experience leading the architecture and implementation of AI/ML workloads
• Proven track record of delivering robust, scalable solutions in complex technical environments as well as delivering successful enterprise-scale Gen AI implementations
• International consulting or professional services sales and delivery experience
• Strong track record of CI/CD implementation in enterprise environments
• Experience evaluating customer market conditions, organizational readiness, and C-Level engagement to drive strategic transformation initiatives
• Bachelor's or Master's degree
• Experience with selling consulting/professional services
  
  

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.


Company - Amazon Web Services, Inc.

Job ID: A2999181

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Science, and Engineering

• Industries

  IT Services and IT Consulting

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