Amazon Q Delivery Engineer, Amazon Q Customer Success Team (Q-CST)

AWS is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
$118,200 - $204,300
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

Description For Amazon Q Delivery Engineer, Amazon Q Customer Success Team (Q-CST)

AWS is seeking a Delivery Engineer for their Amazon Q Customer Success Team (Q-CST), focusing on implementing transformational Generative AI solutions. This role combines deep technical expertise with customer-facing responsibilities, helping organizations leverage AWS's Gen AI technologies like Amazon Q and Bedrock.

The position requires architecting and developing end-to-end solutions that integrate Generative AI capabilities into existing systems. You'll work directly with customers to understand their needs, translate requirements into technical specifications, and implement scalable AI solutions. The role involves collaboration with cross-functional teams, including sales and partners, to ensure successful customer outcomes.

As a Q-CST Builder, you'll be responsible for designing enterprise-scale Generative AI solutions, optimizing performance and cost-effectiveness, and establishing best practices for AI implementation. The role demands both technical excellence and strong communication skills, as you'll need to explain complex concepts to various audiences.

AWS offers a collaborative work environment with a diverse team of technologists passionate about AI. The company provides comprehensive benefits, professional development opportunities, and a culture that values work-life harmony. You'll have access to mentorship programs and ongoing learning experiences through employee-led affinity groups and conferences.

The position offers competitive compensation based on location and experience, ranging from $118,200 to $204,300 per year, plus additional benefits and potential equity compensation. This is an excellent opportunity for someone looking to work at the forefront of AI technology while making a direct impact on customer success.

Last updated 6 minutes ago

Responsibilities For Amazon Q Delivery Engineer, Amazon Q Customer Success Team (Q-CST)

  • 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

Requirements For Amazon Q Delivery Engineer, Amazon Q Customer Success Team (Q-CST)

Python
Java
  • 3+ years of architecture/design and implementation of cloud-based solutions
  • 3+ years of consulting or professional services experience
  • 3+ years of database experience
  • 3+ years of software development with object oriented language experience
  • Bachelor's degree, or 5+ years of professional or military experience

Benefits For Amazon Q Delivery Engineer, Amazon Q Customer Success Team (Q-CST)

Medical Insurance
  • Medical benefits
  • Work-life balance
  • Career growth opportunities
  • Mentorship programs
  • Professional development

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