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
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Mentorship and Career Growth
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