Enterprise Technology Solutions Engineer (AI & Automation)

About the Position

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 companys information technology environment.

Responsibilities and Essential Functions

• 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.
• Application Development: 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.
• 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 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:Maintainclean well-documented codebases using Gitparticipatein 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 counterparty 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 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.
• Technology Operations and Administration: Serve as a technical resource for select IT operations help manage the IT consultant and support escalated end-user technical issues.
• Security and Access Management: 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.
• Documentation and Vendor Coordination: 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.

Qualifications and Key Skills

• 5 years of professional experience in software engineeringsolutionsengineering automation engineering or a related technical role including hands-on delivery of production automations or applications.
• Demonstrated experience building AI-powered automations or agentic workflows including working with LLM APIs (e.g. Anthropic OpenAI Azure OpenAI) prompt and context design tool use/function calling and MCP or comparable integration frameworks.
• Strongproficiencyin Python and JavaScript with experience building web applications APIs and internal tools and consuming REST/GraphQL APIs and webhooks.
• Demonstrated experience with AI-assisted software development tools and workflows (e.g. Claude Code Copilot Cursor or similar).
• Proficiencywith Git and modern version control practices.
• Experience working with cloud platforms preferably Microsoft Azure (VMs App Services Functions DevOps or similar) and with securing service accounts API keys and secrets.
• Comfort troubleshooting technical issues and supporting non-technical users.
• Preferred: GIS experience (ArcGIS Pro (Esri Suite)ArcPy PostGIS or spatial data libraries).
• Preferred: Prior experience in energy development ideally renewable energy (wind solar or storage).
• Ability to work independently and manage multiple concurrent projects in a fast-paced dynamic environment.
• Excellent communication skills both written and verbal with the ability to translate technical concepts for non-technical stakeholders.
• Bachelors degree in Computer Science Engineering GIS or a related field or equivalent practical experience.
• Preferred: Experience with low-code and workflow automation platforms (Power Platform/Power Automate n8n Zapier or similar); administration of enterprise platforms such as Microsoft 365 Salesforce/Sitetracker or ArcGIS Online/Enterprise; scripting for administrative automation (PowerShell Microsoft Graph API); and Microsoft or Azure certifications (e.g. AZ-104 MS-102 AI-102).

Compensation and Location

• Job Type:Full-Time.
• Compensation:Competitive salary and benefits commensuratewith experience.
• Location:Austin TX Chicago IL or San Francisco CA preferred. Remote candidates will be considered for exceptional applicants.

Equal Opportunity Employment

Linea Energy is an Equal Opportunity Employer (EOE) and does not discriminate on the basis of actual or perceived race creed color religion national origin ancestry citizenship status age disability sex marital status veteran status sexual orientation arrest record or any other characteristic protected by applicable federal state or local laws. Our management team is committed to this policy in all aspects of employment.