Embedded within Secure Power, this Senior AI Engineer role focuses on building, testing, and deploying AI agents, automated workflows, and dashboards that support day-to-day operational needs. The position emphasizes converting business rules into reliable agent behavior while ensuring governance, security, and responsible AI alignment.
Location and Compensation
- Location: Nashville, TN (onsite)
- Salary: USD 101,600 - 152,400 per year
- Pay range details: The expected pay range includes base pay and short-term incentives. The compensation range applies to candidates located within the United States.
- Determining factors: Pay ranges are set by reviewing roles of similar responsibility and level, and individual pay is determined by performance, knowledge, job-related skills, experience, and relevant education or training.
Role Overview
As a Senior AI Engineer I, you leverage generative AI and automation platforms with low-code tooling to solve real operational problems and reduce manual effort for the Secure Power team. You will build, test, and deploy AI agents, automated workflows, and dashboards, while maintaining the integrations and infrastructure required for production use. Your work includes translating business rules and decision logic into clear, testable agent instructions, converting manual processes into automated workflows, and supporting performance visibility through dashboards.
You also collaborate with process owners and team leaders to map current-state workflows, redesign steps that are broken or redundant, and move from working prototypes to Minimum Viable Products (MVPs). In addition, you partner with the central AI team to ensure that AI solutions adhere to established governance, security, and responsible AI policies.
Key Responsibilities
- Build and deploy AI agents (for example, using Microsoft Copilot Studio) that address real Secure Power business needs.
- Design and maintain automation and dashboard infrastructure using Power Automate, Power Apps, Power BI, and Smartsheet to support scalable, production-grade solutions.
- Collaborate with process owners and team leaders to map end-to-end current-state workflows, redesign broken or redundant steps, and develop working prototypes and MVPs.
- Automate workflows and processes across systems the team already uses, including Salesforce, Oracle, CPQ, and SharePoint, to reduce manual data re-entry.
- Run pilots, gather feedback, and iterate quickly while creating simple documentation so the team can use and own what is built.
- Coordinate with the central AI team and ensure AI solutions follow established governance, security, and responsible AI policies.
Technology Stack
- Microsoft Copilot Studio
- Power Automate
- Power Apps
- Power BI
- Smartsheet
- Salesforce
- Oracle
- API
- SharePoint
Requirements
- AI Agent Development: Experience building, training, and deploying AI agents (for example, Copilot Studio) for real production use.
- Workflow Automation: Ability to implement and deploy automated workflows in low-code platforms (for example, Power Automate and Power Apps).
- Process Mapping & Redesign: Capability to map current-state workflows end-to-end and identify where automation will and will not add value.
- Data Integration: Experience connecting AI and automation tools across enterprise systems via API (for example, Salesforce and Oracle) to eliminate manual data re-entry.
- Prompt & Logic Design: Skill in translating business rules and decision logic into clear, testable agent instructions.
- Responsible AI & Governance: Knowledge of data privacy, security, and responsible AI practices, including human review where outputs affect a customer or an order.
- Problem-Solving: Strong ability to handle ambiguous, undocumented processes independently.
- Collaboration: Excellent collaboration skills with cross-functional teams to translate business requirements into technical solutions.
- Growth Mindset: Curiosity to explore new AI and automation technologies and methodologies.
- Adaptability: Ability to navigate changing priorities in a fast-moving, embedded team environment.
- Communication: Comfort explaining technical tradeoffs to a non-technical stakeholder or leader.
Benefits
- Medical (with member reward points), dental, vision, and basic life insurance
- Benefit Bucks
- Flexible work arrangements
- Paid family leaves
- Well-being programs
- 12 holidays per year
- 15 days of paid time off per year
- Base salary, incentives, company share ownership, and 401(k) with match
- Performance discussions, global opportunities, the Schneider Career Hub, and learning platforms like Coursera
- Volunteer leave, programs with the Schneider Electric Foundation, youth education initiatives, and military leave benefits
Additional Career and Learning Support
- Access to performance discussions and performance support resources
- Opportunities through learning platforms such as Coursera
- Learning and growth support via the Schneider Career Hub and learning platforms
- Volunteer leave and participation in programs supported by the Schneider Electric Foundation
Qualifications for Success
- Strong problem-solving mindset for ambiguous, undocumented processes
- Excellent collaboration skills with cross-functional teams
- Growth-oriented, curiosity-driven approach to AI and automation technologies
- Adaptability to changing priorities in a fast-moving embedded team environment
- Ability to explain technical tradeoffs to non-technical stakeholders
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