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Verizon Communications

Runs wireless and fiber networks across the US

Principle Engineer-Technology Strategy

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A minimum of 10 years of experience in one or more of Data Science, Large Language Models, or Generative AI.
  • A Master’s degree from an accredited college or university is preferred.
  • Established experience delivering information management solutions to large numbers of end users.
  • Experience developing and testing Generative AI solutions using both agentic and non-agentic approaches.
  • Deep understanding of frameworks such as LangGraph, AutoGen, and LangSmith.
  • Deep understanding of data preprocessing, prompt management, caching, validation, advanced retrieval-augmented generation, reinforcement learning from human feedback, and success measurement.
  • Thorough understanding of LLM operations, data pipelines, and other common services required to operationalize Generative AI use cases.
  • Ability to design end-to-end Generative AI solutions tailored to specific Verizon use cases.
  • Deep understanding of automation and AI technologies and their application in business operations.
  • Ability to develop scalable prototypes of large language model and natural language processing modules and systems critical to the company’s product lines.
  • Ability to apply state-of-the-art large language model techniques to understand large amounts of unstructured data and translate it into meaningful, structured data.
  • Strong independent and creative research skills to keep up with the latest trends in advanced analytics and Generative AI.
  • Ability to identify new process opportunities and quickly assess feasibility.
  • Ability to communicate technical details effectively to non-technical audiences in writing and verbally.

Responsibilities

  • Develop and maintain a technology roadmap aligned with organizational strategic goals and evolving industry trends.
  • Engage with technology and business stakeholders and senior leadership to drive the product roadmap, define priorities, and deliver high-quality products for large-scale use.
  • Work closely with architects and cross-functional teams to ensure architecture and design align with industry best practices.
  • Stay updated on emerging technologies, assess their relevance to the business, and propose innovative solutions.
  • Evaluate and manage relationships with technology vendors and partners to ensure they support organizational strategic objectives.
  • Work closely with process experts to analyze and design solutions based on business requirements.
  • Manage multiple programs designed to help Global Technology Services move toward its strategic objectives.
  • Contribute to planning and building Engineering Excellence deliverables and coordinate with cross-functional teams to execute initiatives successfully.

Desired Qualifications

  • Familiarity with graph database concepts.
  • Familiarity with one or more data platforms, such as Cloudera, Snowflake, or Databricks.
  • Experience in text processing, vector databases, and embedding models.
  • Ability to research, recommend, and implement scalable best practices for large language model and natural language processing systems.

About the Company

Verizon Communications

Runs wireless and fiber networks across the US

Verizon runs one of the largest wireless and fiber networks in the United States, selling mobile and home internet service to consumers, businesses and government agencies. Its consumer arm sells phone plans along with Fios and Frontier fiber internet and 5G home internet, which beams broadband to homes over its cellular network. Verizon Business sells mobile, networking and security services to companies of every size, including nearly all of the Fortune 500. Most revenue comes from monthly service plans, with more from device sales and installment payments. Verizon was incorporated in 1983 as Bell Atlantic, took the Verizon name in 2000, and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York, NY
Founded
1983

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