• Drive engineering innovation across the entire company • Stay abreast of industry trends and emerging technologies • Spearhead research initiatives to explore new tools, frameworks, and methodologies • Guide the approach and execution of a particular team or group of teams • Dig deep into arbitrarily complex and critical problems and find an appropriate path forward until resolution • Collaborate with product managers, designers, and other stakeholders to understand requirements to architect, design and deliver high-quality solutions • Conduct thorough architectural reviews to help guide and shape Webflow’s technology stack • Be a model for engineering innovation in the industry working with partners, customers, and investors • Mentor and coach other engineers, fostering a culture of continuous learning

• Lead the architecture and governance of Lime's enterprise AI ecosystem, developing a secure "Hub-and-Spoke" model for business units to safely deploy AI solutions. • Design and engineer initial high-impact pilot use cases, including tools to accelerate month-end financial close processes and AI engines to parse complex city RFPs. • Drive AI Enablement & Adoption: Design and execute a comprehensive internal training program and enablement strategy to ensure Limers are effectively utilizing approved GenAI tools. • Partner with our Engineering team to maintain secure, air-gapped Isolated Exploration (Sandbox) environments to enable safe experimentation across Lime. • Scale Continued Education: Build and maintain an internal repository of AI best practices, curated prompt libraries, and specialized training modules tailored to different departments. • Measure Impact: Define and programmatically track key adoption and efficiency metrics, proving the ROI of our AI investments through baseline time-to-task comparisons. • Partner closely with Identity & Access Management and Security teams to govern "Agent" access across functional systems and eliminate "shadow AI" risks.

• Lead the architecture and governance of Lime's enterprise AI ecosystem, developing a secure "Hub-and-Spoke" model for business units to safely deploy AI solutions. • Design and engineer initial high-impact pilot use cases, including tools to accelerate month-end financial close processes and AI engines to parse complex city RFPs. • Drive AI Enablement & Adoption: Design and execute a comprehensive internal training program and enablement strategy to ensure Limers are effectively utilizing approved GenAI tools. • Partner with our Engineering team to maintain secure, air-gapped Isolated Exploration (Sandbox) environments to enable safe experimentation across Lime. • Scale Continued Education: Build and maintain an internal repository of AI best practices, curated prompt libraries, and specialized training modules tailored to different departments. • Measure Impact: Define and programmatically track key adoption and efficiency metrics, proving the ROI of our AI investments through baseline time-to-task comparisons. • Partner closely with Identity & Access Management and Security teams to govern "Agent" access across functional systems and eliminate "shadow AI" risks.

• Design, develop, and test Mule 4 applications using API-led connectivity. • Build, enhance, and support RESTful and event-driven integrations using RAML/OpenAPI, DataWeave, and MuleSoft connectors. • Develop integrations supporting utility systems such as customer information systems (CIS), outage management, work management, billing, and regulatory reporting platforms. • Implement secure integrations in compliance with PG&E cybersecurity standards. • Ensure high availability, resiliency, and scalability appropriate for a regulated public utility environment. • Prepare and execute unit, integration, and regression testing using MUnit and automated testing frameworks. • Support end-to-end delivery through development, system testing, user acceptance testing (UAT), and production readiness. • Contribute to and follow PG&E-approved CI/CD pipelines using enterprise version control and automation tools. • Provide Level 2/3 support for production MuleSoft integrations supporting mission-critical utility operations. • Create and maintain comprehensive technical documentation, including API specifications and integration design documents.