• Develop and maintain enterprise-grade ontologies (OWL/RDF) that model the complex domain of aerospace engineering, manufacturing, and supply chain. • Define the semantic schema for AI Agents, ensuring they share a common vocabulary when communicating across different business units. • Lead the architecture and deployment of our Enterprise Knowledge Graph. • Build data pipelines (Python) to ingest data from legacy ERP systems, PLM software, and unstructured documents into the graph. • Implement Entity Resolution and linking strategies to unify disparate data points across the organization. • Collaborate with AI Engineers to design "Context Windows" for LLMs. • Work on Causal Inference models: Structure data to help agents distinguish between correlation and causation. • Establish semantic standards and data governance policies for the AI ecosystem.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for instructors to teach in our Masters Electronics Engineering Technology programs. This would be an ideal position for an Electronics Engineering professional. No prior teaching experience is needed; we provide training, mentoring, and ongoing faculty support. Our terms are five weeks long and offer faculty the perfect environment in which to share their specific industry experiences to help students achieve learning outcomes. Candidates must be available evenings and weekends to support our busy adult learners. Qualifications - Doctoral degree in Electrical/Electronics Engineering or in a related field with 18 graduate semester hours in the discipline from a regionally accredited educational institution. - Familiarity with Multisim and Labview software; experience with Siemens and Allen-Bradley PLCs. - Familiarity with CAD software. - 3-5 years industry experience in an electrical and/or manufacturing engineering field required; 7+ years career industry experience preferred. - Industry experience must be within the last 5 years. - Mechatronics candidates should have a strong background in control systems, instrumentation and measurements, and mechanical systems. - Appropriate technical certification or licensure (if required). - Experience in any of the following areas: - Analog & Digital Electronics - Programmable Logic Controllers - Microcontrollers - Field Programmable Logic Arrays, FPGAs - Communication Systems - Robotics & Smart Manufacturing - Machine Learning - Computer Aided Drafting & Design - Engineering Mechanics Requirements - The highest levels of integrity at all times. - Ability to quickly build connections with students using strong interpersonal skills (including approachability and empathy). - Strong verbal and written communication skills. - Ability to work in a 5-week accelerated course environment. - Comfortable being first point of contact to troubleshoot software or technical concerns for students. - Reliable high-speed internet required. - Responsible for supplying your own windows-based computer and webcam. - Your computer system must pass the ECPI University minimum requirements test. - Required to teach one live session each week and hold one live office hour per week via Zoom. Benefits - Competitive compensation. - Retirement plan. - Health Advocate. - Some industry certifications. - Employee Assistance Program (EAP). - Employee Discounts (i.e. Tickets at Work, Verizon Wireless, MetLife Pet Insurance). - IPad/Computer Purchase Program. - Employee Referral Program. Company Description Since 1966, ECPI University’s employees have been dedicated to helping students achieve their academic and career goals through our unique education model. If you are looking for an opportunity to share your industry experience, provide practical hands-on instruction, and make a real difference in our students’ lives, ECPI University may be for you. ECPI University is proud to be an Equal Opportunity Employer.

• Maintain good communication and ethical standards in the workplace • Foster a collaborative environment, encouraging the exchange of knowledge and experience • Organize workflows using agile methodologies, proposing and improving processes to ensure a macro view of development • Mentor your team by creating development plans, promoting training, and providing continuous follow-up • Lead the understanding of new solutions, aligning and communicating with the areas involved • Ensure high availability of platforms by creating and evolving delivery and monitoring processes • Contribute to the team in implementing development best practices and code design • Define and document architecture for new projects and improvements to existing projects • Understand the overall business landscape and contribute to defining technological strategies aligned with the company's objectives

• Lead and support tool migrations, upgrades and updates, ensuring minimal or no downtime and data integrity during maintenance windows. Conduct regular health checks and maintenance tasks to keep the platform running smoothly. • Stay current with Atlassian product updates, ecosystem changes, and industry best practices. Evaluate, install, and configure Jira plugins, Confluence macros, and integrations to extend the platform's capabilities and integrate with other tools in the technology stack. Perform Jira frond-end administrative tasks as needed. • Implement and enforce security measures to safeguard data and ensure compliance with data protection regulations and internal policies. • Develop and maintain backup and recovery strategies for Jira and Confluence. Document backup and recovery processes and train relevant staff members. • Investigate, troubleshoot and fix issues related to Atlassian tools and database servers. • Monitor system performance and usage, identify bottlenecks, and implement optimizations to ensure optimal system performance and reliability. • Ensure all applicable security policies and processes are followed to support the organization's secure software development goals.