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.
AI Solution Architecture - 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.
Machine Learning & AI Engineering - 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.
Intelligent Agent Development Lead Development of AI Agents capable of
- Customer service decision support
- Knowledge retrieval
- Workflow orchestration
- Next-best-action recommendations
- Employee coaching
- Quality assurance automation
- Contact summarization
- Customer journey optimization
These agents should improve employee decision making while preserving the human connection that defines Consumer Cellular's customer experience.
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.
Technical Leadership - 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
