Across the Cox family of businesses (Cox Enterprises, Cox Communications and Cox Automotive), we’re looking for Intelligent Automation Engineering Interns to join our team and learn from the best. Ready to collaborate with us and work at a great company that truly cares about you and your future? Keep reading!
What’s In It For You?
We value your time and potential. At Cox, you’ll be exposed to meaningful and challenging work with modern automation and AI technologies.
You won’t be left alone to figure things out. You’ll have a team of supporters (plus an assigned program mentor) who will show you the ropes, guide you to excellence and cheer you on.
You’ll experience real accountability to develop your professional skills.
You’ll expand your network and professional toolbox through exposure to senior leaders.
You’ll help us build a bold future that is sustainable, accessible and inclusive.
As an Intelligent Automation Intern, you will work closely with teams across the Intelligent Automation and Data Analytics domains. This role offers the opportunity to gain hands-on experience with cutting-edge technologies and contribute to projects that streamline business processes and drive innovation. You will assist in the automation lifecycle, from gathering requirements to the deployment and monitoring of automated solutions. You will also be exposed to tools like RPA (UiPath) and process intelligence (Mimica) methodologies, learning how automation enhances business efficiency. The role will challenge you to derive meaningful insights from data, build dashboards, and identify process improvement opportunities through automation.
This internship is ideal for students interested in automation, data science, machine learning, generative AI, and modern workflow engineering.
Key Responsibilities:
Collaborate with analysts to gather requirements, document process definitions, and design automation solutions.
Assist in evaluating and prioritizing automation opportunities.
Apply RPA technologies (UiPath/Blue Prism) to automate business processes and support development lifecycles.
Conduct data collection, cleaning, and analysis to drive insights for business process improvements.
Utilize process mining techniques to analyze and optimize business processes.
Develop visually compelling reports and dashboards to communicate insights to stakeholders.
Support the design and implementation of machine learning models to enhance automation capabilities.
Research and stay updated on new technologies in the intelligent automation ecosystem.
Provide documentation of automation processes and participate in design and code reviews.
Support analytics and automation teams with project management and coordination.
Process & Automation Development
Assist analysts and team members in gathering basic requirements and documenting process steps.
Support the design of simple automation workflows using RPA tools (UiPath/Blue Prism) under guidance from senior developers.
Help build small components of automations and learn how they connect with AI agents or LLM‑powered features.
Participate in testing, debugging, and deploying automations by following established checklists and instructions.
Learn best practices for maintaining and improving automations through hands‑on coaching and peer reviews.
AI, Agents & Prompt Engineering
Apply prompt engineering techniques to design, refine, and validate prompts that power LLM features and AI-driven automation.
Assist in building and configuring AI agents for reasoning, task automation, and workflow orchestration.
Implement agentic automation patterns, including guardrails, monitoring, safe delegation, and autonomous task execution.
Review model outputs for clarity and accuracy, escalating issues such as hallucinations or unexpected responses.
Process Intelligence & Data Insights
Collect, clean, and analyze data to surface automation opportunities and process optimization insights.
Use process mining and task mining tools to identify bottlenecks and areas for improvement.
Build stakeholder‑facing dashboards and visualizations (Insights).
Assist with portions of ML or AI‑powered automation experiments by preparing data or running predefined scripts.
Collaboration, Documentation & Delivery
Document automation steps, prompts, testing results, and agent behavior using team templates and examples.
Participate in design reviews and team discussions as a listener and contributor, offering observations and asking clarifying questions.
Support project coordination tasks such as tracking updates, preparing slide decks, or organizing documentation.
Stay curious and proactive in learning about new tools, AI capabilities, and trends in intelligent automation.
Qualifications:
Pursuing a bachelor’s or advanced degree in Computer Science, Information Systems, Data Analytics, MIS, Engineering, Artificial Intelligence, Machine Learning, or related fields.
Minimum GPA of 3.0 and completion of relevant coursework in computer science, data science, or related areas.
Familiarity with RPA tools (UiPath/Blue Prism), process mining techniques, and an interest in learning advanced orchestration techniques.
Foundational experience in programming (VB.Net, C#, Java, JavaScript, TypeScript, Node.js, PowerShell, Bash, VBA, Python, R, or SQL).
Experience working with REST APIs, JSON payloads, OAuth, webhooks.
Exposure to LLMs, chatbots, or AI tools (personal, academic, or project-based) is preferred.
Understanding of prompt engineering concepts or a strong desire to learn.
Experience with data visualization & business intelligence tools (e.g., Power BI, Tableau) is a plus.
Strong analytical, problem-solving, and organizational skills with attention to detail.
Exceptional written and verbal communication skills for stakeholder interaction.
Ability to work independently and collaboratively in fast-paced, dynamic settings.
Demonstrated interest in process improvement and automation methodologies.
Proficiency in business support applications such as Microsoft Office (Excel, PowerPoint, Word).
Why Join Us:
Work on impactful projects that allow you to apply both automation and AI engineering skills.
Gain exposure to next-generation intelligent automation technologies, including LLMs and agentic systems.
Receive mentorship from seasoned engineers and industry leaders in automation and AI.
Build career‑ready experience in a growing, future‑focused field.
Join a culture that values innovation, learning, diversity, and sustainability.
Don’t miss out on the first steps toward your future. Apply today!
Compensation:
Hourly pay rate is in the range of $24.23 - $36.35/hour. The hourly base rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission (annual, monthly, etc.) and/or an incentive program.
Benefits:
Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page.
Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.
