Search for roles similar to Amazon Q Builder in Seattle, focusing on Generative AI technologies, requiring 3+ years of experience, full-time positions, with a salary expectation of at least $120,000.

Okay, I've searched for roles similar to Amazon Q Builder in Seattle, focusing on Generative AI technologies, requiring 3+ years of experience, for full-time positions, with a salary expectation of at least $120,000. I found 87 positions that match your criteria.

Amazon Q Builder

Seattle, WA

Generative AI

3 years + Experience

$120000+

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Amazon Q Builder role on the Amazon Q Customer Success Team requires a strategic individual who will primarily focus on architecting and implementing end-to-end Generative AI solutions for customers. The main purpose of this role is to utilize AWS's advanced AI technologies to help businesses integrate these capabilities into their existing systems, thereby driving transformation and ensuring success in utilizing AWS services effectively. The responsibilities extend beyond simple technical execution; they include collaboration with diverse stakeholders such as sales teams, UX designers, and customer representatives to translate complex requirements into actionable technical specifications. Candidates will face challenges such as navigating the potential ambiguity in customer needs and ensuring security compliance while delivering innovative solutions. Success in this role is measured not only by the successful implementation of AI solutions but also by fostering collaboration, knowledge sharing, and the ability to mentor others, establishing a culture of continuous learning and excellence within the team.

Company Analysis:

Amazon Web Services (AWS) is positioned as a leader in the cloud computing industry, known for its innovative offerings and commitment to customer obsession. The company emphasizes a culture of inclusivity, mentorship, and continuous growth, aligning its operations with the values of collaboration and professional development. This is crucial for someone in the Amazon Q Builder role, as building AI solutions will require constant interaction across various teams and a commitment to ethical AI usage. The team’s commitment to making AI accessible indicates a mission-driven focus that prioritizes user experience and customer success, suggesting that the Q-CST members should be comfortable in a fast-paced and dynamic environment. Additionally, being part of a diverse and innovative team means that this role is not just about technical contributions; it encompasses the ability to engage with cross-functional teams and leadership, making this position both impactful and integral to AWS’s strategic initiatives.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to lead a cross-functional team to develop a solution. What were the challenges, and how did you ensure success?
Describe a situation where you had to troubleshoot a technical issue with an AI implementation. What steps did you take to resolve it?
Can you share an experience that highlights your ability to mentor others in technical best practices, particularly in data analytics or AI?
How do you approach the process of understanding and translating client requirements into technical specifications for a complex project?
What strategies do you use to ensure that the AI solutions you implement are both scalable and cost-effective?
How would you handle a situation where a project requirement evolves significantly during the implementation phase?
Imagine you are working with a customer who is unfamiliar with Generative AI and needs guidance on its potential benefits. How would you approach this conversation?
If you were to face a major unexpected challenge during a solution delivery, how would you react to ensure continued customer satisfaction?
Why are you interested in working specifically with AWS, and how does our emphasis on customer obsession resonate with your professional philosophy?
What excites you most about the potential of Generative AI technologies in transforming business processes?
Could you elaborate on your experience with CI/CD implementation and how it has impacted your previous projects?
What do you think are the key components for ensuring security compliance when implementing AI solutions?
If you had the opportunity to propose a new feature for AWS's AI/ML services, what would it be and why?
What steps would you take to maintain work-life harmony while ensuring high performance in a fast-paced environment like AWS?

Job Details

Overview Company

AWS Q Builder

$118.2k/y-$204.3k/y

Amazon Web Services (AWS)

2 months ago

Highlight

OnsiteFull-time3+ yearsMid

Summary

Amazon Web Services (AWS) is seeking an Amazon Q Builder for the Amazon Q Customer Success Team (Q-CST) in Seattle, WA. The role involves architecting and developing end-to-end solutions leveraging Generative AI technologies.

About the Role

As an Amazon Q Builder, you will design and implement enterprise-scale Generative AI solutions using Amazon Q and AWS AI/ML services. You will collaborate with Strategists, Engagement Managers, and customer stakeholders to understand requirements and develop scalable, secure Generative AI solutions. Responsibilities include guiding data preparation, model training, and deployment strategies, ensuring security compliance, and fostering knowledge sharing.

About You

Required:

3+ years of design, implementation, or consulting in applications and infrastructures.
2+ years of experience with SQL, Business Intelligence platforms, or 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:

Experience leading the architecture and implementation of AI/ML workloads.
Proven track record of delivering robust, scalable solutions in complex technical environments.
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.
Published technical content or speaking engagements at industry conferences.
Bachelor's or Master's Degree.

Benefits

Base pay ranging from $118k–$204k depending on market location and experience.
Equity, sign-on payments, and other forms of compensation as part of a total compensation package.
Full range of medical, financial, and other benefits.

Amazon Web Services (AWS)

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.

Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

Seattle, WA