Automation Engineer (AI Systems)

About Us:

Headquartered in Dallas, Texas, Divcon delivers fully integrated automation solutions nationwide that optimize performance, energy efficiency, and reliability across HVAC, lighting, power monitoring, and mission-critical systems. Leveraging advanced technologies - including Allen-Bradley PLCs, Ignition SCADA, and Delta DDC systems - we combine deep technical expertise with field-tested execution to deliver precise, scalable, and high-performance solutions.

About the role:

The Automation Engineer is responsible for identifying, designing, and deploying intelligent automation systems that eliminate manual processes across the organization.

This role transforms repetitive business workflows into scalable, AI-driven systems using modern orchestration platforms such as n8n, LangChain, and API-connected services.

You will work closely with software developers, engineers, project managers, finance, and operations to engineer reliable automation pipelines that improve accuracy, speed, and operational leverage.

This is a hands-on engineering role focused on implementation—not research or experimentation.

Key Responsibilities:

Identify and Prioritize Automation Opportunities

Audit internal workflows to identify manual, repetitive, or error-prone tasks
Quantify time savings and operational impact of automation initiatives
Prioritize automation projects based on measurable ROI
Conduct discovery sessions with department leaders to surface impactful use cases
In conjunction with executive leadership, architect automation roadmap aligned with strategic priorities

Develop & Deploy AI-Driven Automation

Build workflow orchestration pipelines using n8n
Design and implement agent-based systems using LangChain or similar frameworks
Develop LLM-powered solutions including structured output pipelines, RAG, tool-calling agents, and document automation
Integrate across company systems (CRM, ERP, ticketing, telemetry platforms, internal tools)

Engineer Reliable Systems

Design automation with proper logging, validation, and error handling
Implement safeguards around data security and access control
Develop reusable automation templates and internal standards
Maintain organized repositories including version control, documentation, and release notes

Collaborate Cross-functionally

Partner with other teams, especially engineering and Software Developers to productionize scalable solutions when needed
Participate in design reviews and architecture discussions
Ensure automation systems align with internal development standards
Liaise effectively across functions to ensure stakeholder buy-in and oversee change management

Support & Continuous Improvement

Monitor automation performance and reliability
Troubleshoot integration failures and workflow gaps
Iterate on deployed agents to improve accuracy and efficiency

Qualifications:

5+ years in automation engineering, systems integration, or software development, with principal focus on integration of artificial intelligence systems in business processes
Hands-on experience with workflow orchestration platforms (n8n, Zapier, Make, or similar)
Experience integrating REST APIs and external services
Experience working with LLM platforms and agent orchestration frameworks
Strong understanding of API authentication, JSON data transformation, workflow branching, logging, and observability
Ability to move from concept to working deployment quickly
Skilled at translating business requirements into technical solutions and communicating effectively with non-technical stakeholders

Preferred Qualifications

Experience building RAG pipelines and vector database integrations
Familiarity with structured prompting and output validation techniques
Experience working alongside engineering teams in production environments
Familiarity with Docker, cloud deployment, or CI/CD pipelines
Experience in industrial, automation, or mission-critical environments

What Success Looks Like

Manual workflows replaced with reliable automated systems
Measurable reduction in labor hours across departments
AI agents deployed into daily operational processes
Clean, maintainable automation architecture adopted company-wide
Clear documentation and repeatable automation standards established