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

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

Job summary

An established industry player is seeking a skilled architect to join its innovative team focused on Generative AI solutions. In this role, you will design and implement cutting-edge AI applications, collaborating with diverse teams to ensure successful integration and user experience. You will leverage your expertise in cloud-based solutions and database management to create scalable, secure, and efficient systems that drive customer success. This is an exciting opportunity to work at the forefront of AI technology, making a real impact in the enterprise landscape. If you are passionate about AI and thrive in a collaborative environment, this position is perfect for you.

Qualifications

• 3+ years of experience in cloud-based solution architecture and implementation.
• Experience with database technologies and software development.

Responsibilities

• Design and implement enterprise-scale Generative AI solutions.
• Guide cross-functional teams in integrating AI solutions.

Skills

Cloud-based solutions architecture

Consulting or professional services experience

Database management (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)

Software development with object-oriented languages

AI/ML workloads architecture

CI/CD implementation

Security and compliance standards knowledge

Strong communication skills

Education

Bachelor's degree

5+ years of professional or military experience

Job description

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

Job ID: 2948694 | Amazon Web Services, Inc.

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, translate them into technical specifications, and develop 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

1. Design and implement enterprise-scale Generative AI solutions using Amazon Q and AWS AI/ML services
2. Create strategies for optimizing AI application performance, scalability, and cost-effectiveness
3. Foster knowledge sharing and develop reusable frameworks for AI application deployment
4. Guide cross-functional teams in integrating AI solutions while considering user experience and accessibility
5. 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.

BASIC QUALIFICATIONS

1. 3+ years of architecture/design and implementation of cloud-based solutions
2. 3+ years of consulting or professional services experience
3. 3+ years of database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
4. 3+ years of software development with object-oriented language experience
5. Bachelor's degree, or 5+ years of professional or military experience

PREFERRED QUALIFICATIONS

1. Experience leading the architecture and implementation of AI/ML workloads
2. Proven track record of delivering robust, scalable solutions in complex technical environments as well as delivering successful enterprise-scale Gen AI implementations
3. International consulting or professional services sales and delivery experience
4. Strong track record of CI/CD implementation in enterprise environments
5. Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
6. Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
7. Experience with selling consulting/professional services

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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