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Lead prompt engineering for LLM-based solutions: design, test, and refine prompts; collaborate with domain experts and developers; integrate LLMs into applications; build a scalable prompt framework and knowledge base; analyze user feedback and guide tool/platform selection.

Design, develop, and optimize LLM prompts and a reusable prompt-engineering framework. Collaborate with domain experts and developers to integrate LLM solutions, collect user feedback, document best practices, and advise on tool/platform selection to improve business processes.

Develop and optimize LLM prompts, build scalable prompt-engineering frameworks, integrate AI solutions into applications, analyze user feedback, document best practices, and collaborate with domain experts and software developers. The role also contributes to LLM technology and platform decisions across GE Vernova business units.

Design and optimize prompts for LLMs, collaborate with domain experts to translate business needs, integrate LLM solutions into applications, build a scalable prompt-engineering framework, gather and analyze user feedback, document best practices, and evaluate LLM tools and platforms to improve prompt effectiveness and reuse across business units.

Supports Controls Lifecare Services product management for the Mark VIe platform. Responsibilities include customer and market discovery, capability and gap assessment, roadmap recommendations, product requirements and acceptance criteria, business-case development, industry and regulatory research, and lightweight prototyping. The intern presents recommendations and collaborates with product, engineering, commercial, compliance, and customer-facing teams.

Design and optimize LLM prompts, collaborate with domain experts to translate business needs into prompt-driven solutions, integrate LLMs into applications, build a reusable prompt engineering framework, gather user feedback, document best practices, and stay current on LLM tools and platforms.

The Digital Control Systems Engineering Manager will lead a team in designing and integrating Grid Automation projects, ensuring high-quality engineering solutions and project delivery while managing resources and collaborating with stakeholders.

The Order Management Specialist manages project operations, handles order entries in SAP, prepares invoices and order acknowledgments while assisting project managers and supporting logistical processes.

Provide L3 engineering support for power electronics converters, perform detailed analyses, and write troubleshooting guidelines while collaborating with teams to resolve technical issues.

Leads enterprise AI architecture and technical vision across multiple products. Designs RAG and agent workflows, integrates and optimizes LLMs, and builds secure, observable, high-availability, multi-tenant systems. Establishes AI security, monitoring, and cost-management standards while partnering with product, data science, and engineering leaders. Mentors technical teams, drives cross-functional initiatives, and guides technology roadmaps. The role requires advanced cloud, containerization, vector database, embedding optimization, and production-scale AI application experience.