Senior Gen AI Architect for Autonomous Networks

Verizon Communications; Irving (TX); Hybrid; USD 137,000 - 263,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Verizon Communications is seeking a Distinguished Engineer to architect and build the applied AI layer behind our autonomous network. This hybrid role combines design ownership of Gen AI-powered systems across AWS, Azure, and GCP with hands-on implementation and security governance.

You will mentor engineers and drive responsible AI practices while delivering scalable AI-driven solutions. Ideal candidates have 8+ years of relevant experience, expertise across LLMs, prompt engineering, and MLOps,

Qualifications

• Bachelor's degree or four or more years of work experience.
• Eight or more years of relevant experience required.
• Strong familiarity with Generative AI concepts: LLMs, prompt engineering, RAG, embeddings, fine-tuning.
• Proven experience building and deploying cloud-based solutions across AWS, Azure, and GCP.
• Experience with on-prem AI inference at the edge, including deploying and optimizing models in resource-constrained environments.
• Strong security background for AI products and platforms.

Responsibilities

• Designing, building, and deploying applied AI/Gen AI solutions on Verizon's Gen AI platform.
• Partnering with network and product teams to identify high-value use cases.
• Evaluating and integrating LLMs, RAG, prompt engineering, fine-tuning, and agentic AI frameworks into production systems.
• Architecting and deploying AI workloads across AWS, Azure, and Google Cloud Platform.
• Mentoring engineers and acting as a technical thought leader on Gen AI adoption.

Skills

Generative AI concepts

LLMs

Prompt engineering

RAG

Cloud architecture

Mentoring engineers

Problem solving

Verbal and written communication

Education

Bachelor's degree

Master's degree

Tools

AWS

Azure

GCP

LangChain

Amazon Bedrock

Google Vertex AI

Job description

Verizon Communications is seeking a Distinguished Engineer to architect and build the applied AI layer behind our autonomous network. This hybrid role combines design ownership of Gen AI-powered systems across AWS, Azure, and GCP with hands-on implementation and security governance.

You will mentor engineers and drive responsible AI practices while delivering scalable AI-driven solutions. Ideal candidates have 8+ years of relevant experience, expertise across LLMs, prompt engineering, and MLOps,