• Ensure first class end-to-end delivery of our DERMS Solutions meeting customer business needs, on time and within budget. • Engage with utility clients to understand impacts of distributed energy resources (DERs) on the distribution system. • Collaborate with a strong team of Technical Leads and Solution Specialists to provide input on solution architecture based on client needs. • Define success criteria and author solution diagrams for projects. • Provide technical direction in system development and has general responsibility for system integration and testing. • Work directly with customers to resolve technical issues. • Collaborate with the Solution Architect on technical reviews of custom designs. • Lead a team to deploy GE GridOS DERMS solutions to client environments. • Prepare, modify, and configure client and testing input data for solutions. • Convert and validate client CIM distribution network models. • Collaborate with Service Engineering development lead for all custom deliverables. • Respond to client inquiries, bugs, and product ideas for in-flight projects. • Lead simulation of project scenarios utilizing combinations of solutions. • Analyze and assess data and results of project activities and tasks.

• Lead the design, development, and deployment of AI-enhanced software solutions. • Ensure all development aligns with modern architectural principles, including microservices and domain-driven design. • Communicate architectural decisions clearly across services and domains. • Architect and implement robust APIs and microservices to integrate AI capabilities into our platforms. • Develop and refine prompt strategies to guide AI agents in coding, testing, and documentation. • Leverage AI tools like Copilot, Devin AI, and GPT APIs to improve efficiency and quality. • Translate high-level product goals into actionable tasks optimized for both human and AI execution. • Conduct detailed code reviews for both human- and AI-generated code, ensuring performance, security, and correctness. • Mentor nearshore developers, fostering a culture of learning and AI tool adoption. • Collaborate on optimizing build and deployment pipelines by integrating AI-enhanced review and testing steps to streamline delivery.

• Support customer issue resolutions, fleet issues, service bulletin implementations, monitoring and diagnostics, fleet configuration, and outage management • Interpret OEM & technical manuals where necessary • Review effectiveness of maintenance actions to identify training need opportunities • Utilize our FLIGHT DECK principles to deliver continuous improvement, identifying proactive reliability enhancements • Produce data analytics and timely reporting of production status, program updates, events, and trends to key internal stakeholders • Provide recommendations on opportunities for proactive maintenance; direct and facilitate any necessary rework to assure engine serviceability meets new aircraft requirements for certification • Share voice of customer insights to key internal stakeholders regularly to assist with data collection and timely reporting of performance analyses, marketing intelligence, and potential sales opportunities • Manage office space needs including but not limited to supplies management • Own personnel scheduling for the site • Flexibility and willingness to work onsite to support around-the-clock operations at the customer as needed on weekends and holidays

• Partner with PMs to design agentic workflows • Build prototypes of AI features • Define evaluation frameworks for accuracy and reliability • Implement Retrieval-Augmented Generation and graphs • Act as a technical translator in AI and insurance contexts