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Title: Senior Manager, AI Engineering & Platform

Location: Overland Park, Kansas

(On-site Monday through Thursday; remote work available on Fridays)

Salary Grade: Salaried Exempt

Virtus Insurance, a nine-time Best Places to Work in Insurance award‑winner, is redefining what a modern brokerage looks like. We are fast, specialized, and relentlessly client‑centric, operating across Hospitality, Real Estate, Private Capital, Benefits, Construction, Retail & Distribution, Food & Beverage and Small Business / Personal Lines. Our culture rewards ownership, excellence, and fearless pursuit.

We are looking for a builder who wants to create the technology foundation that will power the next chapter of Virtus.

• Serve as Virtus' primary technical liaison for the firm's external data platform and analytics partners.
• Develop technical requirements, evaluate architecture and data models, and provide oversight of vendor-delivered solutions.
• Ensure data warehouse structures support operational applications, reporting needs, and future AI initiatives.
• Conduct technical reviews and acceptance testing to ensure solutions meet Virtus standards for quality, scalability, and business value.
• Partner with vendors and business stakeholders to support the long-term evolution of the firm's data platform.

• Design, build, and maintain a Virtus-owned API layer that serves as the primary integration point between enterprise data sources and internal applications.
• Establish integration standards that promote system stability, scalability, security, and maintainability.
• Ensure applications are architected to operate independently from vendor-managed data environments.
• Provide ongoing governance and oversight of enterprise integration strategies.

• Design and maintain the technical architecture supporting Virtus' enterprise knowledge management strategy.
• Develop scalable solutions that enable structured, machine-readable access to organizational content, including standard operating procedures, training materials, and business documentation.
• Build and maintain retrieval and context-layer capabilities that support AI-powered applications and workflows.
• Ensure knowledge assets are organized and accessible to support future automation and AI initiatives.
  

• Lead the design, development, and deployment of strategic internal business applications.
• Develop scalable platform standards for authentication, deployment, monitoring, backup, and system reliability.
• Serve as the primary technical owner for complex application initiatives, including automation and AI-powered solutions.
• Ensure all systems are built to support long-term operational stability, scalability, and business growth.
• Establish development practices that enable rapid innovation while maintaining security and governance standards.
  

• Provide technical leadership and architectural guidance across the organization's technology portfolio.
• Review proposed solutions to identify scalability, security, performance, and operational risks.
• Partner closely with Operations Leadership to evaluate technology investments and implementation strategies.
• Act as a trusted advisor to executive leadership on technology architecture, platform strategy, and long-term system evolution.
• Promote sound engineering practices and ensure technology decisions align with the organization's growth objectives.

• Experience serving as the primary business stakeholder or technical lead in outsourced technology or vendor relationships, with the ability to evaluate technical deliverables, provide architectural feedback, and hold partners accountable to established standards.
• Experience working within highly regulated industries such as insurance, financial services, healthcare, or other environments where data security, privacy, and compliance are critical.
• Experience integrating enterprise systems and platforms, including agency management systems, CRM platforms, ERP systems, EHRs, or other systems of record through APIs, data exports, and related integration methods.
• Demonstrated ability to evaluate, prioritize, and apply artificial intelligence technologies in practical business settings, with sound judgment regarding where AI creates value and where traditional approaches are more effective.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.