Enterprise Technology Solutions Engineer (AI & Automation)

About the role

Linea Energy is a leading independent power company dedicated to developing, building, and operating renewable energy projects across the Americas. Headquartered in San Francisco, California, the company is committed to innovation, excellence, and environmental stewardship. We are seeking an Enterprise Technology Solutions Engineer to join Linea Energy on a full-time basis, preferably based in Austin, TX, Chicago, IL, or San Francisco, CA (remote candidates considered for exceptional applicants). The successful candidate will own 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, and will also share responsibility for technology operations, administration, and security.

Responsibilities

• 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 systems such as Sitetracker/Salesforce, SharePoint/Microsoft 365, Notion, financial and data-room platforms, and document repositories; prioritize automations by business impact and measure hours saved, accuracy, and adoption.
• Design, build, and maintain custom internal tools and applications using Python and JavaScript that put AI automations in the hands of development, legal, GIS, finance, and execution teams.
• 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.
• Partner with stakeholders across the organization to identify high-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.
• 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.
• Develop or enhance GIS-enabled applications, spatial data pipelines, and automated spatial analyses to support energy project siting, analysis, and reporting.
• 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.
• Help define and enforce policies for responsible AI use, including approved tools and models, data classification, handling of confidential project, financial, and counterparty information, prompt-injection and data-leakage safeguards, human-in-the-loop review for high-risk automations, and logging and auditability of automated actions.
• Deploy and manage applications, automations, and services within Azure cloud environments, including VMs, app services, functions, and data storage, along with access control, cost monitoring (including AI/LLM usage costs), backups, and patching.
• Serve as a technical resource for select IT operations, help manage the IT consultant, and support escalated end-user technical issues.
• Apply and help maintain security best practices, including multi-factor authentication, least-privilege access, periodic access reviews, and secure handling of credentials and secrets across applications and cloud resources.
• Document systems, automations, configurations, and support procedures, and coordinate with third-party IT providers, AI and software vendors on evaluation, licensing, renewals, and issue resolution.