AI Engineer

Consumer Cellular

$110K — $130K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong educational background in Artificial Intelligence, Machine Learning, Data Science, or Computer Science.
  • Experience with AI-powered application development and machine learning model design.
  • Familiarity with large language models and generative AI technologies.
  • Proficient in software engineering best practices and agile methodologies.
  • Ability to simplify technical concepts for non-technical stakeholders.

Responsibilities

  • Design, build, test, and deploy AI-powered applications and intelligent automation solutions.
  • Develop machine learning models that enhance operational efficiency and customer experience.
  • Create AI assistants and decision-support tools for frontline employees.
  • Assist in developing Retrieval-Augmented Generation (RAG) applications.
  • Experiment with Large Language Models to address business challenges.
  • Collaborate with business stakeholders to identify AI improvement opportunities.
  • Contribute to the creation of innovative AI solutions through prototyping.

Benefits

  • Hybrid or onsite working options available for local candidates.
  • Direct collaboration with senior technology leaders, including the CIO.
  • Opportunities for continuous learning and professional development in cutting-edge AI technology.
  • Involvement in meaningful projects that impact employee and customer experiences.
  • A culture that values curiosity and creativity.
Full Job Description
You will need to reside within 50 miles of our Corporate Headquarters in Scottsdale, AZ as this role has the option of hybrid or onsite.

Job Summary
Artificial Intelligence is transforming the way businesses work, and Consumer Cellular is looking for an AI Engineer who wants to help build that future.

As an AI Engineer, you'll work alongside business leaders, software engineers, data professionals, and executive leadership to design and build intelligent solutions that improve the experience for our employees and customers. You'll help develop AI-powered applications, machine learning models, and intelligent decision-support tools that empower our frontline teams to provide exceptional service.

This is an ideal opportunity for someone who has a strong educational foundation in Artificial Intelligence, Machine Learning, Data Science, or Computer Science and is excited to apply those skills in a real-world business environment. We value curiosity, creativity, and a willingness to learn just as much as prior experience.

You'll have the opportunity to work directly with our CIO and experienced technology leaders while helping shape how AI is used throughout Consumer Cellular.

Key Responsibilities

AI Solution Development
  • Design, build, test, and deploy AI-powered applications and intelligent automation solutions.
  • Develop machine learning models that improve business operations and customer experiences.
  • Build AI assistants and decision-support tools that help frontline employees serve customers more effectively.
  • Assist in developing Retrieval-Augmented Generation (RAG) applications using enterprise knowledge.
  • Experiment with Large Language Models (LLMs) to solve real business problems.
  • Participate in prompt engineering, model evaluation, and AI optimization activities.

Business Partnership
  • Partner with business stakeholders to understand operational challenges.
  • Learn how business processes work today while identifying opportunities where AI can improve them.
  • Participate in discovery sessions with business teams to gather requirements.
  • Help prototype innovative AI solutions for various departments.
  • Translate technical concepts into language that business users can understand.

Software Engineering
  • Develop clean, maintainable, and scalable software solutions.
  • Participate in code reviews and engineering best practices.
  • Collaborate with agile development teams to deliver high-quality solutions.
  • Build APIs and integrations supporting AI applications.
  • Troubleshoot and resolve issues within AI-powered applications.

Learning & Innovation
  • Stay current on advancements in:
    • Artificial Intelligence
    • Machine Learning
    • Large Language Models
    • Generative AI
    • Prompt Engineering
    • Intelligent Agents
  • Research emerging AI technologies and share ideas with the team.
  • Continuously expand technical skills through experimentation and professional development.

Collaboration
  • Work closely with Software Engineers, Product Managers, Data Engineers, and business leaders.
  • Participate in brainstorming sessions focused on improving employee and customer experiences.
  • Contribute ideas that help reimagine business processes using AI.
  • Support the implementation of enterprise AI initiatives.

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