Consumer Cellular is hiring an AI Engineer to design and deliver AI-powered applications, machine learning models, and decision-support tools that enhance customer service operations. The role works with business and engineering teams using Databricks and AWS to build and deploy solutions such as RAG/LLM systems and AI agents.
Role Responsibilities
- Design, build, test, and deploy AI-powered applications and intelligent automation.
- Develop machine learning models to improve business operations and customer experiences.
- Build AI assistants and decision-support tools to help frontline employees serve customers.
- Develop RAG and LLM-based solutions using enterprise knowledge, including prompt engineering and model optimization.
- Create AI agents and multi-step workflows that integrate with enterprise systems, data, and tools.
- Partner with business stakeholders to understand operational challenges and identify where AI can help.
- Lead discovery sessions to gather requirements and translate them into AI-enabled solutions.
- Prototype AI solutions across the company and tailor technical explanations for business users.
- Write clean, maintainable, and scalable code, following engineering best practices and participating in code reviews.
- Build APIs and integrations that support AI applications.
- Collaborate with agile teams to deliver high-quality solutions.
- Troubleshoot and resolve issues in AI-powered applications.
- Partner with Data Engineering on pipelines, feature stores, and vector indexes that power AI applications.
- Ensure data quality, lineage, and accessibility for model training and RAG in Databricks.
- Apply Responsible AI principles across the AI lifecycle, including fairness, transparency, explainability, and human oversight.
- Protect customer and employee data in line with privacy, security, and regulatory requirements, including PII and CPNI.
- Document models, data sources, and design decisions according to enterprise AI governance policies.
- Stay current on advances in AI, machine learning, LLMs, generative AI, and AI agents, and share ideas with the team.
- Continuously build skills through experimentation and professional development.
- Work closely with software engineers, product managers, data engineers, and business leaders.
- Contribute ideas to reimagine business processes and improve employee and customer experiences.
- Support the rollout of enterprise AI initiatives.
Required Minimum Qualifications
- Bachelor’s degree in a related field or equivalent experience; a Master’s degree is a plus.
- 0–3 years of professional software engineering or AI experience.
- Hands-on AI, machine learning, or software project experience through internships, research, coursework, hackathons, or open-source contributions.
- Professional experience is not required if strong technical capability is demonstrated through projects, research, or coursework.
- Ability to showcase hands-on skills with Databricks, Claude Code, Copilot, and open-source LLMs through a portfolio, GitHub repository, or live demo.
Technical Qualifications
- Programming: Python, SQL, REST APIs, JavaScript, Git, and object-oriented programming.
- Machine learning and NLP: PyTorch, TensorFlow, Scikit-Learn.
- LLMs, prompt engineering, and fine-tuning: Anthropic, OpenAI, Gemini, Llama, Mistral.
- RAG and retrieval: embeddings and vector search using Databricks Vector Search, Amazon OpenSearch, and Pinecone.
- AI agents and frameworks: LangChain/LangGraph and Model Context Protocol.
- LLM evaluation and guardrails: MLflow, RAGAS, and Amazon Bedrock Guardrails.
- Databricks: Delta Lake and Mosaic AI.
- AI-assisted development: Claude Code and GitHub Copilot.
- Cloud platforms: AWS preferred (Amazon Bedrock, SageMaker); Azure, Azure OpenAI, or Google Cloud valued.
- Data engineering: Apache Spark/PySpark, ETL/ELT pipeline development, data modeling and data quality practices, and governance/cataloging via Unity Catalog.
- MLOps and deployment: MLflow, CI/CD pipelines (GitHub Actions, AWS CodePipeline or similar), Docker, and Kubernetes.
- Model serving, monitoring, and observability.
- Responsible AI and security: responsible AI principles and governance frameworks (for example, NIST AI RMF) and data privacy/security best practices for PII and customer data.
- Software testing, agile development, and familiarity with telecommunications or retail industries.
Technologies
Databricks, AWS, Python, SQL, REST APIs, JavaScript, PyTorch, TensorFlow, Scikit-Learn, Anthropic, OpenAI, Gemini, Llama, Mistral, prompt engineering, fine-tuning, RAG, embeddings, vector search, Databricks Vector Search, Amazon OpenSearch, Pinecone, LangChain, LangGraph, Model Context Protocol, MLflow, RAGAS, Amazon Bedrock Guardrails, Delta Lake, Mosaic AI, Claude Code, GitHub Copilot, Amazon Bedrock, SageMaker, Azure, Azure OpenAI, Google Cloud, Apache Spark, PySpark, ETL/ELT, Unity Catalog, GitHub Actions, AWS CodePipeline, Docker, Kubernetes, NIST AI RMF, PII, CPNI.
What Will Make You Successful
- Curiosity and excitement about emerging AI technologies.
- Passion for solving problems.
- Adaptability and ability to learn new tools quickly.
- Clear communication of technical concepts.
- Creativity in approaching business challenges.
- Collaboration and a willingness to learn from others.
- Customer focus and drive to improve experiences.
Nice to Have
- Participation in AI competitions or hackathons.
- Experience building chatbots or AI assistants.
- Familiarity with telecommunications or retail industries.
Compensation, Schedule, and Location
- Salary: USD 116,865 - 169,785 per year.
- Schedule: Full-time.
- Work arrangement: Hybrid or onsite option.
- Primary location: Scottsdale, AZ (9363 E Bahia Dr, Scottsdale 85260), United States.
- Travel: No.
- Residency requirement: Reside within 50 miles of Consumer Cellular’s Corporate Headquarters in Scottsdale, AZ.
Benefits
- Competitive base pay with potential for shift differential, overtime, and bonus pay.
- Medical insurance (98% company-paid for full-time employee only coverage).
- Dental and vision insurance (100% company-paid for full-time employee only coverage).
- 401(k) company match of 100% up to 6% of your pay.
- Discounted Consumer Cellular wireless phone plan for employees.
- Paid Time Off (PTO) available following a 30-day waiting period.
- 6 company-paid holidays plus 16 hours of floating holiday accrual per year.
- Flexible Spending Accounts (FSA) for health care and dependent care expenses.
- Life and AD&D insurance equal to 1x your annual earnings (100% company-paid).
- Long-Term Disability insurance (100% company-paid).
- Employee Assistance Program (100% company-paid).
- Education reimbursement.
- Employee rewards program.
- Accrue up to 40 hours in the first year for hourly positions and up to 120 hours for salaried positions.
Posting Details
- Job posting date: Nov 10, 2026
- Unposting date: Nov 16, 2026
- Job category: Information Technology
- Location/work arrangement listing: Hybrid or onsite, with residence within 50 miles of the Scottsdale corporate headquarters
