Senior AI Engineer — Agentic ML & Production Systems

Verizon

Basking Ridge (NJ)

Hybrid

USD 101,000 - 194,000

Full time

14 days+

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Benefits offered by this job

Health benefits
401(k) matching
Paid time off

Job summary

Verizon is seeking a skilled engineer to build, optimize, and deploy state-of-the-art agentic AI/ML models within the Verizon Consumer Group AI team. You will translate architectures into production-grade code while ensuring reliability, performance, and scale.

You will collaborate with product managers and GTS engineering to execute roadmaps, review code, and prototype new AI frameworks. A hybrid work model and travel up to 25% are expected.

Qualifications

  • Bachelor's degree or 4+ years of work experience.
  • 4+ years of relevant AI/ML or related experience.
  • 1+ years building/tuning AI/ML models or integrating LLMs.
  • Experience with Agile methodologies.
  • Willingness to travel up to 25% of the time.

Responsibilities

  • Develop, deploy, and scale agentic AI/ML models and systems.
  • Integrate AI agent frameworks with existing customer success platforms.
  • Collaborate with product managers and engineering teams on roadmaps.
  • Participate in code reviews, design sessions, and testing for safe model behavior.
  • Optimize model inference pipelines and data integration layers.
  • Prototype emerging AI frameworks and document performance results.
  • Create technical documentation and demonstrations of pilot outcomes.

Skills

AI/ML modeling
LLM integration
API design
Cloud platforms
Agile
Data quality

Education

Bachelor's degree
4+ years experience

Tools

LangChain
AutoGen
Verint

Job description

Verizon is seeking a skilled engineer to build, optimize, and deploy state-of-the-art agentic AI/ML models within the Verizon Consumer Group AI team. You will translate architectures into production-grade code while ensuring reliability, performance, and scale.

You will collaborate with product managers and GTS engineering to execute roadmaps, review code, and prototype new AI frameworks. A hybrid work model and travel up to 25% are expected.

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