Enterprise Technology Solutions Engineer; AI & Automation

Linea Energy is a leading independent power company dedicated to developing, building, and operating renewable energy projects across the Americas. Our mission is to provide sustainable energy solutions that empower communities and drive the transition to a clean energy future. Headquartered in San Francisco, California, Linea Energy is committed to innovation, excellence, and the highest standards of environmental stewardship.

We are seeking an Enterprise Technology Solutions Engineer to join Linea Energy on a full-time basis, preferably based in any of our existing office locations:
Austin, TX, Chicago, IL, or San Francisco, CA. The successful candidate willown the design, build, and deployment of AI-driven automations and custom internal applications that eliminate manual work across development, legal, finance, GIS, and execution teams. This role sits at the intersection of enterprise architecture, software development, and business operations, with a strong emphasis on agentic workflows, LLM-powered automation, and rapid AI-assisted development.

The ideal candidate will be resourceful, technically versatile, and comfortable working across disciplines in a fast-paced renewable energy environment, and will also share responsibility for technology operations, administration, and security for the company’s information technology environment.

• Key individual within company responsible for enterprise software architecture and solutions
• AI Automation and Agentic Workflows:
  Design, build, and operate AI-powered automations and agent-based workflows (using LLM APIs, Model Context Protocol (MCP) servers, and workflow platforms) that connect to the systems where work already happens, such as Sitetracker/Salesforce, SharePoint and Microsoft 365, Notion, financial and data-room platforms, and document repositories. Prioritize automations by business impact and measure hours saved, accuracy, and adoption.
• AI-Assisted Development:
  Leverage modern AI-assisted coding tools (e.g., Claude Code, Copilot, Cursor) to rapidly prototype, iterate, and deliver production-quality software, applying appropriate testing, code review, and deployment discipline to AI-generated code.
• Cross-Functional Collaboration:
  
  Partner with stakeholders across the organization toidentifyhigh-value automation opportunities, map current workflows, gather requirements, and translate business needs into technical solutions.
  
  Train and support employees in adopting AI tools and automated workflows.
• Enterprise Integration:
  Build and maintain integrations between internal systems of record, cloud services, and third-party platforms using APIs, webhooks, and MCP connectors to streamline data flows and reduce manual processes, with attention to reliability, monitoring, and error handling.
• GIS and Spatial Applications:
  Develop or enhance GIS-enabled applications, spatial data pipelines, and automated spatial analyses to support energy project siting, analysis, and reporting.
• Code Quality and Version Control:
  
  Maintain clean, well-documented codebases using Git,participate in code reviews, and follow best practices for collaborative development, including testing and evaluation of AI-driven workflows.
• AI Governance and Data Protection:
  Help define and enforce policies for responsible AI use, including approved tools and models, data classification, handling of confidential project, financial, and counter party information, prompt-injection and data-leakage safeguards, human-in-the-loop review for high-risk automations, and logging and auditability of automated actions.
• Cloud Infrastructure:
  Deploy and manage…