Automation Engineer (AI Systems)

Posted Yesterday
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Irving, TX, USA
In-Office
Senior level
Big Data • Automation
The Role
Design, build, and deploy AI-driven automation pipelines using workflow orchestration and agent frameworks to replace manual workflows. Integrate LLMs, APIs, and internal systems, ensure logging, security, and observability, and collaborate cross-functionally to productionize and maintain reliable automation solutions.
Summary Generated by Built In

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 


Benefits & Total Rewards:

  • Opportunities for Growth 

Hands-on training and career advancement in an exploding data-center industry.

  • Medical, Dental, and Vision Insurance 

We cover 100% of individual medical premiums and help offset the cost of family coverage.

  • 401K with Employer Match 

Eligible after 90 days, with company matching to help you invest in your future.    

  • Disability Coverage 

Both short- and long-term disability insurance provided at no cost to our employees.  

  • Flexible PTO 

Take time off when you need it, no accruing time necessary.

  • Field-Based Employee Benefits

For eligible field-based roles that require travel, Divcon covers all business travel expenses and provides a per diem, phone allowance, tools, and PPE at no cost. Eligible employees also receive paid training and additional reimbursable business expenses.


Divcon does not accept unsolicited resumes from agencies. Agencies must have a signed agreement in place prior to submitting any candidate. Unsolicited resumes will be considered the property of Divcon, and no fees will be paid.


Skills Required

  • 5+ years in automation engineering, systems integration, or software development with focus on integrating AI systems
  • 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 (e.g., LangChain)
  • Design and implement LLM-powered solutions including structured outputs, RAG, tool-calling agents, and document automation
  • 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 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
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The Company
200 Employees

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