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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Vice President, AI Engineering - **Company:** Consumer Cellular - **Location:** Scottsdale, AZ, United States - **Salary:** $210,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Cloud Engineering, Cyber Security, Information Systems, Information Engineering, Information Leak Prevention, Decision Support Systems, DevOps, Middleware, Monitoring of Systems, Identity and Access Management, Knowledge Management, Machine Learning, Performance Tuning, Software Tools, Cloud Services, Software Engineering, Systems Integration, Enterprise Software Applications, Retrieval-Augmented Generation, System Availability, Large Language Models, Prompt Engineering, Model Validation, Technical Debt, Generative AI, Information Technology, Data Management, Machine Learning Operations, GPT, Devsecops - **Published:** July 4, 2026 - **Apply:** https://www.juju.com/job/00000000gdjhyo ## About the Role + Bachelor's degree in Artificial Intelligence, Data Science, Information Systems, Engineering, Business, or related field (or equivalent work experience). + 15 years of experience in Progressive technology leadership, including senior leadership of AI engineering, software engineering, data engineering, platform engineering, enterprise architecture, or comparable IT engineering functions. + Demonstrated experience leading teams that design, build, integrate, deploy, and support AI-enabled products, automation capabilities, machine learning systems, generative AI solutions, or large-scale enterprise technology platforms. + Strong fluency with large language models, generative AI applications, prompt engineering, retrieval-augmented generation, model evaluation, model risk management, AI-assisted development tools, and practical AI use case delivery. + Experience establishing responsible AI governance, including ethical use, privacy-by-design, security-by-design, human review, transparency, bias awareness, data minimization, output validation, and appropriate usage controls. + Strong knowledge of modern software engineering practices, agile delivery, DevOps, DevSecOps, cloud architecture, API platforms, data platforms, automation, MLOps, observability, quality engineering, and technical debt management. + Proven ability to lead large teams of employees, contractors, and strategic partners while developing scalable organizational structures, leadership bench strength, and clear accountability models. + Exceptional business acumen, financial discipline, communication, stakeholder management, and executive presence, including the ability to translate complex AI, data, security, and engineering topics for senior leadership and board-level audiences. + Strong analytical, problem-solving, prioritization, and change leadership skills with a track record of delivering measurable improvements in productivity, quality, resiliency, cost, speed, risk reduction, and customer experience. Technology Requirements: + Experience with AI and data platforms, cloud services, enterprise application development, APIs, middleware, automation frameworks, MLOps, model monitoring, vector databases, knowledge retrieval, identity and access management, and secure integration patterns. + Hands-on familiarity with AI-enabled productivity and engineering tools such as ChatGPT, Claude, Copilot, and comparable platforms, including the ability to evaluate appropriate use cases, adoption readiness, measurable value, and operational risk. + Working knowledge of large language model capabilities and limitations, including hallucination risk, model bias, data leakage, prompt injection, model access controls, secure prompt design, explainability, and human-in-the-loop validation. + Ability to evaluate, rationalize, and modernize complex application and data portfolios while maintaining system availability, business continuity, security, privacy, and compliance requirements. + Working knowledge of AI performance metrics, engineering productivity dashboards, model quality measures, incident trends, operational resiliency, cost-to-serve indicators, and adoption effectiveness measures. + Demonstrated ability to responsibly evaluate and adopt emerging technologies while ensuring all AI-assisted work aligns with organizational ethics expectations, data privacy standards, security protocols, legal requirements, and approved usage policies. Technology & Innovation: + **Continuous Improvement:** Proactively identifies and integrates emerging technologies, including AI tools (e.g., ChatGPT, Claude, Copilot), to optimize performance and operational efficiency. ## Description 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. ## Related Videos - [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) ## Related Articles - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [WWC24 Talk - Scott Hanselman - AI: Superhero or Supervillain?](https://www.wearedevelopers.com/magazine/469-wwc24-talk-scott-hanselman-ai-superhero-or-supervillain) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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