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Verizon

Principal Engineer – AI Science

Verizon

Principal Engineer AI Science at Verizon focusing on designing and scaling autonomous AI solutions. Leading technical implementation and driving the roadmap for pro-active network operations.

Posted 5/26/2026full-timeChennai • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
PythonSpark

About the role

Key responsibilities & impact
  • Serve as the technical authority and hands-on leader in designing, building, and scaling next-generation Agentic AI solutions for autonomous network operations.
  • Be instrumental in the technical implementation of the core "AI brain" framework, working across the five-layer architecture of autonomous agents designed for continuous coverage: detection, aggregation, synthesis, investigation, and recommendation.
  • Drive the core technical efforts in Agentic Workflow Orchestration, including designing robust agent-to-agent communication patterns and structuring the overall task flow.
  • Lead the engineering and optimization of Large Language Model (LLM) components through advanced Prompt Engineering, Fine-tuning, and Context Engineering (RAG pipelines).
  • Design and deliver high-precision Retrieval Augmented Generation (RAG) systems using vector databases and semantic search to ground models in enterprise data.

Requirements

What you’ll need
  • Bachelor’s degree or four or more year of work experience.
  • Six or more years or relevant work experience.
  • Six or more years of experience in practicing data science or AI engineering in a business environment, focusing on applying AI/ML, GenAI, and Agentic frameworks.
  • Deep technical mastery of Prompt Engineering, Context Engineering, and building Agents Skills & Tools.
  • Expertise in distributed computing systems and strong coding proficiency in Python and Spark.
  • Proven AI Hygiene experience by designing and deploying end-to-end MLOps and LLM Ops pipelines, including versioning, real-time monitoring, and continuous integration/continuous deployment (CI/CD).
  • Experience with deep learning, Natural Language Processing (NLP), and Foundation Model architectures (LLM/SLM).

Benefits

Comp & perks
  • Health insurance
  • 401(k) retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
Prompt EngineeringContext EngineeringAI/MLGenAIAgentic frameworksPythonSparkMLOpsLLM OpsNatural Language Processing
Soft Skills
leadershiptechnical authoritycommunicationcollaborationproblem-solving
Certifications
Bachelor’s degree