Search for roles similar to Amazon Q Builder, focusing on Houston, TX. I'm looking for positions that involve AI/ML implementation, require a Bachelor’s degree, and involve collaborating with cross-functional teams, ideally with 3+ years of experience.

Got it! I've searched for roles similar to Amazon Q Builder in Houston, TX. Focusing on AI/ML implementation, requiring a Bachelor’s degree, involving collaboration with cross-functional teams, and looking for candidates with at least 3 years of experience. I found 118 relevant job positions for you to review.

Amazon Q Builder

Houston, TX

AI/ML

Bachelor

3 years + Experience

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

Sure. Here's the analysis:

Job Analysis:

The Amazon Q Builder role within the Amazon Q Customer Success Team (Q-CST) is fundamentally about architecting and implementing innovative Generative AI solutions tailored to client needs using AWS technologies. This position requires an adeptness not only in technical design but in translating complex customer requirements into actionable solutions, thus enhancing customer success through strategic collaboration. The primary responsibilities encompass the design and implementation of enterprise-scale solutions, ensuring that AI capabilities integrate seamlessly into client infrastructures while maintaining performance and compliance standards. Key challenges include navigating diverse customer ecosystems, aligning technological possibilities with business objectives, and fostering an environment of cross-functional collaboration. Success in this role will be measured by the efficiency and effectiveness of implemented solutions, reflecting client satisfaction and performance optimization across AWS services.

Company Analysis:

Amazon Web Services (AWS) stands at the forefront of the cloud computing industry, known for its customer-centric innovation and comprehensive service offerings. The company fosters a culture of inclusion and continuous learning, positioned as a disruptor in the tech space. This role, integral to the Q-CST, aligns with AWS's broader mission of making advanced technologies accessible and impactful for enterprises. Candidates should anticipate a fast-paced environment driven by innovation and ethical AI practices, where collaboration across diverse teams is highly valued. The team dynamic emphasizes mutual growth and technical mentorship, aligning with AWS's commitment to employee development. Given AWS's significant market position, the expectations will be high, encouraging candidates to think strategically about how their contributions can fuel customer transformation initiatives, thus directly linking individual outputs to the company's long-term objectives.

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 navigate a complex technical challenge. How did you approach it?
Can you provide an example of a successful project where you implemented AI/ML technologies? What was your role?
Describe a scenario where you had to collaborate with cross-functional teams. What strategies did you use to ensure everyone was aligned?
How do you prioritize your tasks when managing multiple AI implementation projects simultaneously?
What experience do you have with SQL and Business Intelligence platforms? How have you applied this in previous roles?
Discuss your experience with deploying AI solutions. What key factors do you consider for scalability and performance optimization?
Imagine a client is hesitant about adopting a new Generative AI solution. How would you address their concerns and guide them towards implementation?
If faced with a project deadline that your team is struggling to meet, how would you determine the best course of action?
Why are you interested in working at Amazon Web Services, specifically in the context of generative AI and cloud solutions?
How do you see your previous experiences aligning with AWS's values and mission related to customer success?
What strategies would you employ to create reusable frameworks for AI application deployment?
What do you believe are the most critical security considerations when implementing AI solutions in an enterprise setting?
If offered this position, what would your priorities be in your first 30 days on the job?
Can you tell me about a time when you received constructive feedback? How did you respond, and what actions did you take?
What question do you have about our approach to inclusive team culture and how it shapes the work environment at AWS?

Job Details

Overview Company

AI Solutions Architect

$118.2k/y-$204.3k/y

Amazon Web Services (AWS)

14 days 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 Houston, TX. The role involves architecting and developing end-to-end Generative AI solutions using AWS 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 AI solutions. Your responsibilities include optimizing AI application performance, fostering knowledge sharing, and ensuring security compliance.

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

Competitive compensation with a base pay range of $118k–$204k depending on market location and experience.
Equity, sign-on payments, and other forms of compensation may be provided.
Full range of medical, financial, and other benefits.
Work-life harmony with flexibility as part of the working culture.
Inclusive team culture with employee-led affinity groups and ongoing learning experiences.
Mentorship and career growth opportunities.

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.

Houston, TX