Senior AI Engineer
Indexed description
All official communication from Consumer Cellular will come from a @consumercellular.com email address or through our verified texting platform, which will only be used to schedule interviews. We will never ask for personal and financial information during the recruiting process. If you receive outreach that doesn't match these criteria, please do not engage and feel free to verify directly at [email protected].
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
Consumer Cellular is seeking a visionary Senior AI Engineer to lead the design, strategy, and execution of Artificial Intelligence solutions that transform how we serve customers and empower employees.
Reporting directly to the Chief Information Officer, this highly visible role will define the company's AI roadmap while partnering with executive leadership and business domain owners to identify opportunities where AI can fundamentally improve business outcomes.
This leader will combine deep technical expertise with strategic business acumen to design intelligent systems, machine learning solutions, and AI-powered decisioning agents that improve employee productivity, elevate customer experiences, and reimagine work across the enterprise.
Success in this role requires someone who is equally comfortable discussing enterprise AI strategy with executives, facilitating innovation workshops with business leaders, and designing scalable AI architectures that move from concept to production.
This is more than an engineering role—it's an opportunity to shape the future of work at Consumer Cellular.
What You Will Do
AI Strategy & Enterprise Transformation
- Develop and execute Consumer Cellular's enterprise AI strategy aligned with business priorities.
- Identify opportunities where Artificial Intelligence can fundamentally improve operations, customer experiences, and employee productivity.
- Partner with executive leadership and business stakeholders to create AI roadmaps and implementation strategies.
- Lead AI discovery sessions across Customer Care, Retail, Sales, Marketing, Finance, HR, Operations, and Technology.
- Challenge existing business processes by reimagining how work should be performed in an AI-enabled organization.
- Prioritize AI initiatives based on business value, feasibility, customer impact, and operational efficiency.
- Build executive-level business cases demonstrating measurable ROI for AI investments.
- Design enterprise-scale AI solutions supporting customer-facing and employee-facing experiences.
- Architect intelligent decisioning agents that augment frontline employees during customer interactions.
- Design Retrieval-Augmented Generation (RAG) architectures leveraging enterprise knowledge.
- Build scalable AI platforms capable of supporting multiple business domains.
- Define standards for AI architecture, model governance, observability, security, and responsible AI.
- Evaluate emerging AI technologies and determine applicability within Consumer Cellular.
- Design, develop, deploy, and optimize production-ready machine learning solutions.
- Build predictive and prescriptive models supporting customer retention, sales optimization, workforce management, fraud detection, and operational efficiency.
- Develop AI copilots and intelligent assistants using Large Language Models.
- Optimize prompts, model performance, reasoning quality, and AI workflows.
- Establish MLOps standards supporting enterprise deployment and lifecycle management.
- Customer service decision support
- Knowledge retrieval
- Workflow orchestration
- Next-best-action recommendations
- Employee coaching
- Quality assurance automation
- Contact summarization
- Customer journey optimization
Business Partnership
- Build trusted relationships with executive leaders and business domain experts.
- Translate operational challenges into AI-enabled business solutions.
- Lead AI workshops focused on innovation and future-state process design.
- Influence business leaders to adopt AI-driven operating models.
- Communicate complex AI concepts to technical and non-technical audiences.
- Provide technical leadership for enterprise AI initiatives.
- Mentor engineers and promote AI best practices.
- Establish coding standards, architecture patterns, and engineering excellence.
- Drive experimentation while maintaining production-quality engineering discipline.
- Stay ahead of emerging technologies including:
- Large Language Models
- Agentic AI
- Autonomous AI Systems
- Machine Learning
- Multi-Agent Frameworks
- AI Governance
- Intelligent Automation
- Bachelor’s degree in related field or equivalent experience
- Master's degree preferred
- 8+ years of software engineering experience.
- 5+ years designing and deploying enterprise AI or Machine Learning solutions.
- Experience building production AI applications used by thousands of users.
- Experience creating enterprise AI strategies and technology roadmaps.
- Experience partnering directly with executive leadership and business stakeholders.
- Experience leading cross-functional technology initiatives.
- Experience designing AI platforms from concept through enterprise implementation.
- Demonstrated success delivering measurable business outcomes through AI.
- Large Language Models (OpenAI, Anthropic, Gemini, Llama)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Agentic AI
- Multi-Agent Systems
- AI Orchestration
- Semantic Search
- Embeddings
- Vector Databases
- AI Evaluation Frameworks
- TensorFlow
- PyTorch
- Scikit-Learn
- NLP
- Deep Learning
- Reinforcement Learning (preferred)
- Predictive Analytics
- Python
- SQL
- REST APIs
- C#
- JavaScript
- Microsoft Azure AI
- Azure OpenAI
- Azure Machine Learning
- AWS AI Services
- Google Vertex AI
- Git
- CI/CD
- Docker
- Kubernetes
- LMflow
- Model Monitoring
- AI Observability
- Model Governance
- Strategic thinking
- Executive presence
- Innovation mindset
- Business consulting skills
- Systems thinking
- Strong influence without authority
- Excellent communication
- Ability to simplify complex technical concepts
- Curiosity and continuous learning
- Customer-first decision making
- Experience implementing AI within customer service or contact center environments.
- Telecommunications industry experience.
- Experience building AI copilots for frontline employees.
- Experience implementing Microsoft Copilot or enterprise copilots.
- Experience with enterprise knowledge management platforms.
- Experience developing AI governance frameworks.
- Experience with quality assurance automation.
- Experience leading AI Centers of Excellence.
Pay & Benefits Data (in accordance with the Equal Pay and Opportunities Act)
- Minimum Salary: $138,600
- Maximum Salary: $200,550
- 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 1st year for hourly positions and up to 120 hours for salaried positions.
Job
Information Technology
Schedule
Full-time
Travel
No
Job Posting
Jul 13, 2026
Unposting Date
Jul 19, 2026
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