Search for Generative AI Builder roles in Houston, TX, focusing on full-time positions with 3+ years of experience, preferably in cloud services or technology, and require skills in AI/ML implementation.

Okay, I've searched for Generative AI Builder roles in Houston, TX, targeting full-time positions requiring 3+ years of experience, particularly in cloud services or technology, and with a focus on AI/ML implementation. I found 87 positions that match your criteria.

Generative AI Builder

Houston, TX

Full Time

3 years + Experience

Cloud Services

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

Sure. Here's the analysis:

Job Analysis:

The primary focus of the Amazon Q Builder role within the Amazon Q Customer Success Team is to enable customers to harness the power of Generative AI technologies, such as Amazon Q and Bedrock, to transform their operations and processes. The key responsibilities involve architecting end-to-end AI solutions, ensuring they meet enterprise standards while optimizing for performance and security. Candidates must not only demonstrate technical prowess in AWS data services and analytics but also possess a strong understanding of customer requirements and how to translate them into actionable plans. Success in this role is defined by the ability to deliver scalable and effective solutions that align with customer needs and contribute to their overall success in adopting AWS technologies. This requires problem-solving skills to overcome obstacles related to integration and deployment, as well as the capacity to work collaboratively across teams and geographies. The role demands a balance of technical acumen and strong communication skills, given the frequent need for guidance and explanations in a client-facing capacity.

Company Analysis:

Amazon Web Services (AWS) firmly stands as a leader in the cloud computing industry, recognized for its innovative approach and vast suite of services. The company thrives on a customer-obsessed culture; therefore, the Amazon Q Builder role is pivotal in ensuring that customers can successfully utilize Generative AI within their organizations. The environment at AWS is characterized by rapid change and a focus on performance, which translates to high expectations for employees. Candidates will likely find a collaborative atmosphere that prioritizes knowledge sharing and mentorship, facilitated by a commitment to employee growth and inclusion. The company promotes work-life harmony and values diverse experiences, which points to an inclusive culture where employees are encouraged to contribute unique perspectives. Given the strategic importance of AI solutions in driving customer success and competitive advantage, the Amazon Q Builder's role is aligned with broader organizational goals that seek to expand AWS's capabilities and market reach by continuously innovating and enhancing customer offerings.

Mock up some interview questions based on the job description.

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

Can you describe a project where you successfully implemented a complex AI solution? What challenges did you face, and how did you overcome them?
Tell me about a time when you had to integrate feedback from multiple stakeholders into a project. How did you manage differing opinions?
Describe a situation where you had to mentor someone on a technical topic. What approach did you take to ensure they understood the material?
How do you approach designing a scalable and secure solution in a cloud environment? Can you provide an example of your previous experience in this area?
What steps would you take to optimize the performance of an AI application you designed? What factors would you consider?
How would you assess whether a customer's current systems are ready to integrate Generative AI solutions?
Imagine you are developing a generative AI solution for a client that is hesitant about adopting new technology. How would you address their concerns and guide them on the benefits?
If a significant security issue arose during the deployment of an AI application, how would you respond?
What excites you most about the potential of Generative AI within businesses today?
Why do you want to work at Amazon Web Services, and how do you align with our mission and values?
How do you approach continuous learning in the rapidly evolving field of AI and cloud technologies?
What unique experiences or perspectives do you bring that can enhance our team culture at AWS?
What questions do you have about our current projects and initiatives in the Generative AI space?
How might your experiences with previous clients help you in your role at AWS?

Job Details

Overview Company

AWS Q Builder

$118.2k/y-$204.3k/y

Amazon Web Services (AWS)

11 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 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 create strategies for optimizing AI application performance, scalability, and cost-effectiveness, and guide cross-functional teams in integrating AI solutions. Your responsibilities include 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.
Bachelor's or Master's degree.
Experience with selling consulting/professional services.

Benefits

Base pay ranging from $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.

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