Job Summary Consumer Cellular is seeking a
Vice President, Artificial Intelligence Engineer to lead the strategy, development, governance, and operational adoption of AI-enabled engineering capabilities across the Information Technology department. This executive role is responsible for advancing practical, secure, and ethical use of artificial intelligence, generative AI, large language models, and AI-assisted tools to improve performance, automation, decision support, engineering productivity, and operational efficiency while protecting customer, employee, and company data.
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. Key Responsibilities - Define and execute the enterprise AI engineering vision, strategy, roadmap, and operating model in alignment with IT priorities, business goals, customer experience objectives, operational efficiency targets, and value creation expectations.
- Lead AI engineering, applied AI, machine learning engineering, platform engineering, automation, architecture, MLOps, and related technical teams responsible for building, integrating, and supporting AI-enabled solutions across enterprise applications and operational workflows.
- Partner with the CIO, executive leadership, product, operations, security, infrastructure, data, legal, privacy, compliance, and business stakeholders to prioritize AI use cases and ensure AI engineering delivery supports measurable business outcomes.
- Establish standards, controls, metrics, and governance for responsible AI development, AI-assisted engineering, model evaluation, prompt management, output validation, human oversight, model monitoring, and accountable use of AI tools.
- Drive responsible adoption of AI tools, including ChatGPT, Claude, Copilot, and comparable platforms, to optimize engineering productivity, workflow automation, knowledge management, incident analysis, documentation, testing, and operational performance.
- Provide leadership for large language model strategy, including model selection, integration patterns, retrieval-augmented generation, fine-tuning considerations, evaluation frameworks, guardrails, data readiness, and cost-effective scaling.
- Ensure AI engineering practices comply with organizational data privacy standards, information security protocols, responsible AI principles, regulatory requirements, intellectual property considerations, and approved AI usage policies.
- Build, mentor, and develop high-performing AI engineering leaders and teams, fostering a culture of innovation, ethical judgment, accountability, continuous improvement, collaboration, and customer focus.
- Other duties as assigned.
