Director of AI/ML Engineering (Hybrid)

Verizon

Basking Ridge (NJ)

Hybrid

USD 126,000 - 242,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) match
Tuition assistance

Job summary

Verizon seeks a senior AI leader in a hybrid New Jersey role to bridge Legal, InfoSec, and Responsible AI, guiding AI Platform Engineering and BU AI owners for compliant deployments.

You will direct a team of Principal AI Engineers and Scientists, leverage dashboards and governance frameworks, and align with RAI policies. The position demands 10+ years in AI, 3+ years of team leadership, and deep AI/engineering experience.

Qualifications

  • Bridge Legal, InfoSec and Responsible AI across the enterprise.
  • Direct a team of Principal AI Engineers and Scientists.
  • Adhere to AI safety standards and internal policies.
  • Use dashboards and governance frameworks to guide deployments.
  • Scale data pipelines into deployable data science models.

Responsibilities

  • Partner with AI Platform Engineering leaders to guide BU AI owners for compliance.
  • Direct a team of Principal AI Engineers and Scientists.
  • Rely on AI safety standards and compliance policies.
  • Leverage dashboards and cloud governance to decide deployments.
  • Translate raw data into scalable data science models.
  • Plan work and allocate tasks within the team.
  • Ensure production ML tasks run reliably and code is maintainable.

Skills

AI leadership experience
GenAI architecture
LLMOps experience
Distributed systems
Executive stakeholder management

Education

Bachelor's degree or 4+ years of work experience
Ten+ years of relevant experience
Three+ years managing AI teams

Tools

AWS/GCP

Job description

Verizon seeks a senior AI leader in a hybrid New Jersey role to bridge Legal, InfoSec, and Responsible AI, guiding AI Platform Engineering and BU AI owners for compliant deployments.

You will direct a team of Principal AI Engineers and Scientists, leverage dashboards and governance frameworks, and align with RAI policies. The position demands 10+ years in AI, 3+ years of team leadership, and deep AI/engineering experience.

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