We are looking for an accomplished Cyber Security Manager to lead and strengthen the organization’s information security program in Dublin, Ohio. This position will guide enterprise security strategy, oversee risk and compliance efforts, and help ensure resilient operations across multiple sites. The role works closely with senior leaders and customer-facing stakeholders to address security obligations, improve readiness, and maintain a strong security posture.<br><br>Responsibilities:<br>• Shape and advance the company’s cybersecurity roadmap, aligning security priorities with business goals and operational needs.<br>• Direct core security functions including governance, risk oversight, compliance activities, and enterprise security awareness efforts.<br>• Lead the response to security events by coordinating investigation, containment, recovery, and follow-up remediation actions.<br>• Collaborate with internal business groups and client-facing teams to support customer security reviews, assessments, and audit requests.<br>• Establish, maintain, and enforce security policies, technical standards, and hardening measures across systems and infrastructure.<br>• Prepare and deliver clear updates for executive leadership on threat trends, risk exposure, and overall program effectiveness.<br>• Build, coach, and develop the information security team while fostering accountability and continuous improvement.<br>• Partner with technology and operations leaders to strengthen secure practices across networks, applications, and enterprise environments.
We are looking for a Software Engineer to build and enhance business applications that support operations across multiple facilities in Columbus, Ohio. This role combines hands-on development with cross-functional collaboration, requiring someone who can translate operational needs into practical software solutions. The ideal candidate is comfortable managing projects from concept through delivery while clearly communicating technical ideas to both technical and non-technical stakeholders.<br><br>Responsibilities:<br>• Lead assigned initiatives through planning, development, testing, deployment, and ongoing support while following established engineering practices.<br>• Design and implement automation solutions that streamline workflows and improve day-to-day operational performance.<br>• Partner with business stakeholders and process owners to gather requirements, analyze system interactions, and develop tailored software applications.<br>• Maintain and enhance existing applications by diagnosing issues, correcting defects, and delivering system improvements based on user input.<br>• Represent the software development team in meetings and provide updates, recommendations, and technical guidance to internal partners.<br>• Prepare clear presentations and documentation that explain proposals, findings, and outcomes for audiences with varying levels of technical knowledge.<br>• Coordinate priorities and timelines effectively to keep projects on schedule and aligned with functional expectations.<br>• Provide application support for multiple facilities, including occasional travel and limited after-hours assistance when needed.
<p>We are seeking a Cloud / AI Engineer to be responsible for designing, building, and deploying production‑ready AI agents that support enterprise workflows. This is a hands‑on, execution‑focused role that works with modern agent platforms such as Microsoft Copilot Studio, AWS Agent Core services, and Google Vertex AI to deliver secure, reliable, and well‑governed AI solutions across the organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design, build, and deploy AI agents using Microsoft Copilot Studio, AWS Agent Core services, and Google Vertex AI</p><p>· Develop agent workflows including intent handling, tool calling, memory management, and multi‑step task execution</p><p>· Create and optimize prompts, system instructions, and grounding strategies to ensure consistent and predictable agent behavior</p><p>· Implement Retrieval‑Augmented Generation (RAG) architectures using enterprise data sources, APIs, and document repositories</p><p>· Integrate AI agents with enterprise systems and APIs such as ServiceNow, internal platforms, and cloud services</p><p>· Deploy and manage agents across development, test, and production environments</p><p>· Implement security controls including identity management, authorization, and data access boundaries for AI agents</p><p>· Monitor agent performance through logging, usage analysis, and quality metrics to improve reliability and effectiveness</p><p>· Troubleshoot agent behavior, tool failures, and system integration issues</p><p>· Collaborate with platform, security, and application teams to deliver approved AI agent use cases</p>