Automation Engineer; AI Systems
Listed on 2026-03-01
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Engineering
Systems Engineer, Software Engineer, AI Engineer
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, Lang Chain, 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 an automation roadmap aligned with strategic priorities.
- Develop & Deploy AI-Driven Automation
- Build workflow orchestration pipelines using n8n.
- Design and implement agent-based systems using Lang Chain 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 product ionize 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.
- 5+ years in automation engineering, systems integration, or software development, with a 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.
- 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.
- 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.
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