• Lead technical enablement for engineering and product teams in the use of the AI Web platform • Lead adoption of components, patterns and best practices for developing and deploying AI agents at scale • Coordinate and execute migrations of legacy AI solutions to the new platform • Continuously identify bugs, documentation gaps and adoption barriers; propose solutions and follow through on their implementation • Produce high-quality technical materials, including: • Technical guides and tutorials • Reference architectures • Operational runbooks • Practical code examples • Translate feedback from internal communities into actionable inputs for product and engineering teams • Act as the technical authority and primary point of contact between the AI platform and its consumer teams • Support the definition and evolution of architectural and governance standards for AI solutions

• Serve as Principal Investigator leading research initiatives focused on facilities planning, infrastructure modernization, energy resilience, and project development • Lead and manage the Energy Engineering and Innovation Research Team consisting of faculty, researchers, interns, and technical contributors • Direct research efforts supporting Operational Energy (OE) and Installation Energy (IE) initiatives across Department of Defense mission areas • Develop and advance Civil Systems Engineering (CSE) methodologies and Model-Based Systems Engineering (MBSE) applications supporting defense and infrastructure programs • Design, development, and delivery of professional education offerings, executive courses, workshops, and academic content supporting energy and engineering disciplines • Advise DoD program offices, government leadership, and stakeholders on energy strategy, infrastructure resilience, systems engineering, and emerging technology solutions • Conduct strategic analysis, technical assessments, and research reporting supporting defense energy transformation initiatives • Support proposal development, research planning, technical briefings, and executive-level communications • Ensure research quality, technical rigor, schedule execution, and alignment with sponsor objectives

Design, build, and maintain production-grade backend services while optimizing CI/CD systems and cloud infrastructure. Collaborate with teams to enhance performance, reliability, and security across distributed systems and product ecosystems.

• Support ArcGIS Enterprise and ArcGIS Server environments • Configure and maintain GIS applications and integrations • Build REST APIs and backend GIS services • Develop workflow automation using Python or ModelBuilder • Support SQL Server geodatabases and spatial data workflows • Troubleshoot GIS systems, deployments, and user issues • Translate business requirements into technical solutions • Support SDLC planning, testing, and deployments