Okay, I've searched for AI Solutions Architect roles in Franklin, TN, full-time positions, requiring 4+ years of experience with cloud technologies and programming skills in Python and SQL. I have found 27 openings matching your criteria.

Sure. Here's the analysis:

Job Analysis:

The AI Solutions Architect role at Schneider Electric centers on architecting, designing, and delivering AI-driven solutions tailored for the North American manufacturing and operations environment. This position requires a holistic approach: from deeply understanding complex client problems and translating them into actionable AI strategies, to collaborating with data scientists and developers to create scalable, secure, and well-integrated applications. Success in this role depends on the ability to bridge technical depth with business needs, especially within manufacturing contexts using systems like MES, WMS, and others. The architect must design solutions that not only handle large-scale data ingestion and modeling but also maintain operational continuity and near real-time KPI tracking. Strong software development skills across multiple languages and cloud technologies underline the technical rigor expected, while cross-functional coordination and iterative roadmap development highlight the interpersonal and strategic foresight necessary to evolve AI offerings alongside user needs. Problem-solving will often involve navigating ambiguity inherent in AI deployments, balancing security with functionality, and ensuring that solutions integrate smoothly into existing industrial IT infrastructures. Within 6-12 months, the ideal candidate will have demonstrated the ability to deliver substantial AI solution designs that enhance operational efficiencies, align with business KPIs, and contribute to Schneider's sustainability and digital transformation goals.

Company Analysis:

Schneider Electric is a global leader situated at the nexus of automation, electrification, and digitization, pushing forward a sustainability-driven agenda with a strong emphasis on innovation and ethical business practices. Their market position as a trailblazer in sustainable industrial technology means this role is embedded within a company culture that values mastery, teamwork, and purposeful impact—qualities that must resonate closely with the AI Solutions Architect. The company’s size and complexity imply a structured but collaborative environment, encouraging innovation but grounded in rigorous compliance and security standards. For the candidate, this means working in a fast-evolving industrial IoT landscape with significant resources and global impact, but with the expectations of upholding inclusivity, ethics, and customer-centricity. The AI Solutions Architect will likely function as a key technical partner across multiple departments, influencing both operational improvements and the strategic direction of AI applications. Given Schneider’s long-term sustainability ambitions, this role serves as a strategic hire positioned to advance the digital transformation journey, scale intelligent solutions, and translate AI innovations into tangible business and environmental benefits, offering a rich environment for growth and influence.

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

• Behavioral: Tell me about a time when you had to translate complex technical concepts into solutions for non-technical stakeholders. How did you ensure alignment and understanding?
• Behavioral: Describe a scenario where you encountered resistance or conflicting priorities among cross-functional teams during a project. How did you manage to move forward?
• Behavioral: Share an experience where you identified a significant performance bottleneck in a data pipeline or system. How did you resolve it?
• Behavioral: Can you give an example of how you kept up with emerging AI trends and incorporated them into your work or solutions?
• Technical: How would you approach designing a scalable AI solution that integrates with Manufacturing Execution Systems and tracks near real-time KPIs?
• Technical: Explain your experience with cloud-based data pipelines, particularly involving AWS services like Redshift, Athena, or Glue. How have you leveraged these in AI deployments?
• Technical: Walk me through your process for ensuring security and compliance when developing AI applications in a manufacturing environment.
• Technical: Describe your experience in developing, deploying, and maintaining AI models in production, especially focusing on orchestration tools like Docker or Kubernetes.
• Situational: Imagine a key AI model you helped design is underperforming and causing inaccurate operational KPIs. How would you identify and resolve the issue?
• Situational: Suppose a stakeholder requests an AI feature that conflicts with existing data privacy policies or regulatory requirements. How would you handle the request?
• Situational: If you discovered a major bottleneck in the integration between AI applications and legacy manufacturing systems, what steps would you take to address it?
• Company Fit: What attracts you to Schneider Electric's mission of sustainability and digital transformation, and how do you see yourself contributing to those goals?
• Company Fit: How do Schneider Electric’s IMPACT values of Inclusion, Mastery, Purpose, Action, Curiosity, and Teamwork resonate with your personal work philosophy?
• Company Fit: Schneider emphasizes ethical practices and trust as foundational values. Can you share how you have incorporated ethics and trustworthiness into your AI projects?
• Questions for interviewer: How does Schneider Electric envision the evolution of AI within its manufacturing operations over the next 3-5 years?
• Questions for interviewer: What are the biggest challenges currently facing the AI Solutions Architecture team, and how can this role help overcome them?
• Questions for interviewer: How does Schneider Electric support continuous learning and mastery in evolving technologies like AI and cloud computing within teams?