Sure, I've found several Software Engineer positions focused on AI development that require US Citizenship, are fully remote, need more than 3 years of experience in Python and cloud technologies, and are in companies focused on AI. There are 72 positions matching your criteria that you can review.

Sure. Here's the analysis:

Job Analysis:

The Software Engineer, AI Platform role at Splunk is fundamentally about developing and maintaining robust AI services that underpin their entire suite of AI products. The incumbent will be expected to combine traditional software engineering skills with modern cloud infrastructure and machine learning technologies, making the role complex and multifaceted. This requires not just coding in languages like Python and Golang, but also a deep understanding of cloud services and the architectural principles that support them. A key responsibility is optimizing CI/CD pipelines for machine learning model deployment—indicative of Splunk's focus on efficiency and reliability in delivering AI solutions. Candidates will face challenges such as troubleshooting production issues and ensuring system performance and scalability, which will require a proactive and solution-oriented mindset. Success in this role will look like well-functioning AI systems that meet performance benchmarks and deliver value to both developers and end-users, all while collaborating effectively with cross-functional teams.

Company Analysis:

Splunk occupies a dynamic position within the tech industry, being a leader in data analytics and observability solutions. The company is characterized by its commitment to innovation and creating a safer digital world, which aligns closely with the needs for agility and precision in the Software Engineer role. Given Splunk's emphasis on teamwork, customer engagement, and operational excellence, the company culture appears to value collaboration and continuous improvement. This role is positioned as a technical contributor in a collaborative environment, hinting at significant visibility and importance within the organization, particularly as it relates to advancing the AI capabilities at Splunk. The strategic alignment of this role suggests it is critical to Splunk’s vision for AI, and success will play an influential part in scaling their services and enhancing customer experience. The emphasis on technology and machine learning in the job description also indicates that the company is prioritizing innovative talent to maintain and build on its market leadership.

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

• Tell me about a time when you had to troubleshoot a production issue. What approach did you take?
• Describe an experience where you had to collaborate with cross-functional teams. What challenges did you face and how did you overcome them?
• Can you share an instance where you had to quickly learn a new technology or framework? How did it impact your project?
• How would you design an efficient CI/CD pipeline for deploying machine learning models?
• What tools and practices do you use for Infrastructure as Code, and why are they important?
• Explain how you would approach optimizing the performance of an AI service running on a cloud platform.
• Imagine you are tasked with improving the scalability of an AI service. What steps would you take to analyze and enhance its performance?
• Why are you interested in working at Splunk specifically, and how do you see yourself contributing to our mission?
• What aspects of Splunk's culture resonate most with you, and why do you think you're a good fit?
• What is your understanding of MLOps, and how do you see it impacting the role of a Software Engineer in AI?
• What is your experience with containerization technologies, and how have they benefitted past projects?
• What questions do you have about the teamwork and collaboration processes at Splunk?
• Can you describe how you ensure quality in your code and what role automated testing plays for you?
• In what ways do you approach documentation and knowledge sharing within your team?