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About the Role

The AI/ML Automation Engineer will design, develop, and deploy enterprise AI and automation capabilities to accelerate innovation. This role collaborates with business stakeholders, Engineering, IT, and external partners to transform workflows into scalable AI-enabled solutions, build intelligent automation, support Copilot adoption, evaluate emerging technologies, and achieve business outcomes aligned with the Enterprise Innovation Strategy.

Responsibilities

Translate business workflows into AI-enabled automation solutions and technical architectures.
Design, develop, and deploy prototypes using AI, machine learning, APIs, and workflow automation platforms.
Support AI-enabled infrastructure design, quality assurance, GIS optimization, field intelligence, and enterprise analytics initiatives.
Evaluate AI platforms, agentic AI capabilities, Copilot technologies, and automation vendors.
Develop reusable automation frameworks and technical standards for enterprise deployment.
Partner cross-functionally to understand business requirements, inputs, outputs, data flows, and integration opportunities.
Support AI governance, security, responsible AI practices, and enterprise adoption.
Contribute to technical roadmaps, architecture documentation, executive demonstrations, and innovation showcases.
Research emerging technologies across telecommunications, digital infrastructure, energy convergence, and data centers.
Support KPI measurement, solution performance, and continuous improvement.
Ensure confidentiality of company information.
Receive privileged access and specialized training annually.
Perform other related duties assigned by management.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Computer Engineering, or related discipline.
3–5 years of experience developing AI, ML, automation, or enterprise software solutions.
Experience with Python, REST APIs, Microsoft Azure, Microsoft Copilot, Power Platform, Git, and cloud-native development.
Experience in telecommunications, engineering services, utilities, digital infrastructure, GIS, CAD, or field operations is preferred.
Knowledge of machine learning, large language models (LLMs), prompt engineering, workflow automation, and system integration.
Experience with computer vision, intelligent document processing, agentic AI, or digital twins is preferred.
Exposure to DevOps, MLOps, CI/CD, Azure AI Services, and enterprise architecture preferred.
Experience supporting executive demonstrations and proof-of-concept initiatives preferred.
Excellent communication skills with the ability to explain technical concepts to business stakeholders.
Strong analytical, problem-solving, and systems-thinking abilities.
Must have a valid driver’s license with an acceptable driving record.
Travel approximately 20–30% based on business needs.
Applicants must be authorized to work in the United States without current or future sponsorship and must be a U.S. Citizen or Green Card holder.

Skills

Python
REST APIs
Microsoft Azure
Microsoft Copilot
Power Platform
Git
Cloud-native development
Machine learning
Large language models (LLMs)
Prompt engineering
Workflow automation
System integration
Computer vision
Intelligent document processing
Agentic AI
Digital twins
DevOps
MLOps
CI/CD
Azure AI Services
Enterprise architecture

Location

Remote

Work Type

Full-time

Experience Level

3-5 years

Education Level

Bachelor's degree

About the Company

CCI Systems, Inc. is a 100% employee-owned company with over 70 years of experience.
Our mission is to make life better through devotion to world-class employees and innovative customer solutions.
We foster a culture of collaboration, growth, and shared success.
We build the networks that connect communities and power the future.

Equal Opportunity

This position supports the six Enterprise Innovation pillars: Democratization, Continuous Improvement, Disruptive Innovation, Emerging Technologies, Center of Excellence, and Organizational Capability, while helping build enterprise capabilities through people, platforms, and processes.