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Vice President Artificial Intelligence Testing Jobs

CreditOne

AVP, Artificial Intelligence

Las Vegas, NV · On-site

Description Position Summary The Assistant Vice President of Artificial Intelligence (AVP of AI) is ... Oversee model validation, explainability, bias testing, and audit readiness. * Collaborate with ...

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As of Aug 18, 2026, the average yearly pay for vice president artificial intelligence testing in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

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Vice President, AI Engineering

Consumer Cellular

Scottsdale, AZ • On-site

$181K - $233K/yr

Full-time

Re-posted 16 days ago

Consumer Cellular rating

7.9

Company rating: 7.9 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

30th of 99 rated telecommunications companies

Job description

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 @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 talentacquisition@consumercellular.com.
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.

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