Verizon

Verizon

Principal Engineer - AI/ML Engineer

Bernards, New Jersey · Principal · Part-time

Sponsorship not specified$121k-$231kDetected 23 days ago
PythonAWSKubernetesCI/CDDevOpsPlatform EngineeringMachine LearningData AnalysisLLMsAI Orchestration

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • When you join Verizon You want more out of a career.
  • A place to share your ideas freely - even if they're daring or different.
  • Where the true you can learn, grow, and thrive.

Responsibilities

  • Implement advanced agent simulation and continuous real-time observability telemetry for production LLMs.
  • Build robust API integrations connecting developer platforms (Vegas, Atlas AI) seamlessly with Verizon governance hubs (Engram, Agent Registry).

Requirements

  • Bachelor's degree or four or more years of work experience.
  • Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.

Compensation

  • $121k-$231k

Company info

  • At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy.
  • You want to make an impact by providing the data that will help improve the experience of our customers.

Equal opportunity

  • Verizon is an equal opportunity employer.
  • We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
  • Benefits And Compensation
  • Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon.

This listing is sourced directly from Verizon's careers page and normalized into a canonical job model.