×
Register Here to Apply for Jobs or Post Jobs. X

Vice President, AI Engineering

Job in Scottsdale, Maricopa County, Arizona, 85261, USA
Listing for: Socket.dev
Full Time position
Listed on 2026-07-26
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 210000 - 367500 USD Yearly USD 210000.00 367500.00 YEAR
Job Description & How to Apply Below

Our Commitment to You

At Consumer Cellular, recruiting is human. Every application is reviewed by a real member of our Talent Acquisition team because we believe the people behind the résumé matter just as much as what's on it.

All official communication from Consumer Cellular will come from a  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 talentacq

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.
Job Qualifications Required

Skills & Experience:
  • 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…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary