AI Automation Engineer

Cypress Creek Renewables•Durham, NC

2d•Hybrid

About The Position

Cypress Creek Renewables is powering a sustainable future, one project at a time. We develop, finance, own and operate utility-scale and distributed solar and storage projects across the country. Fostering a diverse group of innovative thinkers from all backgrounds, Cypress people are drawn to work in a purpose-driven organization. We hope you will join us. Overview The AI Automation Analyst / Engineer is a hands-on individual contributor responsible for designing, building, and maintaining AI-driven automations that improve efficiency, accuracy, and scalability across the enterprise. In addition to delivery responsibilities, this role leads and coordinates the AI Steering Committee, helping shape AI priorities, governance, and roadmap alignment across business and IT stakeholders. This role combines technical execution, process analysis, and enterprise AI leadership without direct people management.

Requirements

Familiarity with Microsoft CoPilot, Power Automate, ChatGPT, Zapier, Agentic AI
Experience building or configuring Microsoft Copilot Agents or using Copilot Studio
Familiarity with Microsoft 365 integrations and SharePoint, Teams, or Dynamics workflows
Hands-on experience with automation platforms (Power Automate, UiPath, Automation Anywhere, Zapier, Make, n8n, etc.)
Experience integrating SaaS systems using APIs and webhooks
Familiarity with AI/ML services (LLMs, OCR, document intelligence, NLP)
Working knowledge of Python, JavaScript, or similar scripting languages
Understanding of enterprise data formats and basic SQL
Experience with ERP, AP, HRIS, or financial systems (NetSuite, Oracle, Salesforce, Workday, ADP)
Experience leading cross-functional working groups or committees
Thrives in fast-paced environments with a fail fast and iterative approach mindset
Strong communication and facilitation skills
Comfort presenting to technical and non-technical stakeholders

Nice To Haves

Experience developing AI governance frameworks or standards
Experience with enterprise automation governance programs
Experience with AI-assisted tools or workflow augmentation
Ability to create documentation and user training materials

Responsibilities

Design, build, and support AI-enabled automations using low-code, RPA, APIs, and AI services
Implement document intelligence, data extraction, classification, and workflow automation solutions
Integrate AI automations with ERP, HRIS, finance, and other enterprise systems
Develop scripts and logic (e.g., Python, JavaScript) to support automation workflows
Monitor, troubleshoot, and optimize automations for reliability and performance
Serve as a key member of the AI Steering Committee, including meeting facilitation, agenda setting, and follow-up actions
Partner with business and IT leaders to identify, prioritize, and govern AI use cases
Establish standards for responsible AI use, security, data handling, and compliance
Maintain an enterprise AI roadmap aligned to business value and risk tolerance
Ensure visibility and transparency into AI initiatives across the organization
Work directly with CCR Development, Solutions, Finance, HR, Operations, M&A, Legal, and IT stakeholders to understand processes and opportunities
Translate business requirements into technical automation designs
Document workflows, data flows, controls, and dependencies
Measure and report automation outcomes (time saved, cost reduction, accuracy improvements)
Ensure AI automations comply with security, privacy, and access control standards
Implement monitoring, logging, testing, and change management practices
Support audit, compliance, and risk review activities related to AI solutions