Lead AI Engineer: Agentic ML & LLM Systems

verizon

Basking Ridge (NJ)

Hybrid

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Verizon is seeking a senior AI/ML Engineer to build, optimize, and deploy agentic AI/ML models within the Verizon Consumer Group AI team. Translate designs into production code, ensuring reliability, performance, and scale while collaborating with product and engineering teams.

The ideal candidate has 6+ years in AI/ML, a CS/Engineering degree, hands-on work with LLMS, Agile methods, and cloud-native tech (GCP).

Qualifications

  • Bachelor's degree or 4+ years of work experience.
  • 6+ years of relevant experience in AI/ML, demonstrated via work or training.
  • 1+ years hands-on experience building, tuning, or integrating AI/ML models and LLM apps.
  • Experience with Agile software development methodologies.

Responsibilities

  • Develop, test, and scale agentic AI/ML solutions and LLM-powered systems for Verizon Consumer Group platforms.
  • Integrate AI agent frameworks with existing customer success, digital, and retail tech.
  • Collaborate with product managers and engineering to implement production-grade roadmaps.
  • Participate in code reviews and design sessions to ensure safe model behavior.
  • Optimize inference pipelines, APIs, and data integration for high performance.
  • Support rapid prototyping and evaluate emerging AI frameworks.
  • Document specifications and prepare pilot performance materials.

Skills

AI/ML model development
LLM integration
Agile software development
Cloud-native tech

Education

Bachelor's degree in Computer Science or Engineering

Tools

LangChain
LangGraph
AutoGen
Google ADK
Google Cloud Platform (GCP)
Verint

Job description

Verizon is seeking a senior AI/ML Engineer to build, optimize, and deploy agentic AI/ML models within the Verizon Consumer Group AI team. Translate designs into production code, ensuring reliability, performance, and scale while collaborating with product and engineering teams.

The ideal candidate has 6+ years in AI/ML, a CS/Engineering degree, hands-on work with LLMS, Agile methods, and cloud-native tech (GCP).

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