Amazon Amazon Q Builder Customer Success Team Q-CST 

United States, Washington, Seattle 

170250413

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- Create strategies for optimizing AI application performance, scalability, and cost-effectiveness
- Foster knowledge sharing and develop reusable frameworks for AI application deployment- Ensure security compliance and best practices in AI implementationA day in the lifeABOUT 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
Work/Life BalanceMentorship 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.

- 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)

- 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
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Experience with selling consulting/professional services
- Bachelor's degree, or 5+ years of professional or military experience