Hybrid AI Engineering Leader & Enterprise Strategy

Verizon; San Francisco (CA); Hybrid; USD 126,000 - 242,000; Full time

Job summary

Verizon is seeking an engineering leader to shape the architecture for autonomous AI agent evaluation, optimization, and governance. You will combine deep AI expertise with hands-on ML engineering to build scalable, high-throughput systems and translate technical realities into deployment decisions for senior leadership.

You will mentor a team of Principal AI Engineers and Scientists, integrating with AI platforms and cloud governance (AWS/GCP), while driving RL, LLM fine-tuning, and lightweight

Qualifications

• Deep technical AI architecture and ML engineering experience.
• Ability to design scalable, high-throughput systems for production use.
• Experience translating technical realities into deployment decisions for senior leadership.
• Strong background in RL, LLM fine-tuning, and agentic AI evaluation.

Responsibilities

• Architect and build core AI agent evaluation, validation, and observability systems.
• Drive AI optimization strategies, including RL tuning and model weights adjustments.
• Lead LLM fine-tuning to improve throughput and reduce inference costs.
• Design lightweight models to intercept and reduce frontier LLM calls.
• Mentor Principal AI Engineers and Scientists; plan technical roadmaps.
• Integrate evaluation architectures with AEgis, KAIROS and cloud governance (AWS/GCP).
• Collaborate with AI Platform Engineering to embed workflows in developer processes.

Skills

AI architecture

ML engineering

Reinforcement Learning

LoRA

QLoRA

LLM fine-tuning

Education

Master's or PhD in CS/ML/AI

Tools

AWS

GCP

KAIROS

AEGIS

Job description

Verizon is seeking an engineering leader to shape the architecture for autonomous AI agent evaluation, optimization, and governance. You will combine deep AI expertise with hands-on ML engineering to build scalable, high-throughput systems and translate technical realities into deployment decisions for senior leadership.

You will mentor a team of Principal AI Engineers and Scientists, integrating with AI platforms and cloud governance (AWS/GCP), while driving RL, LLM fine-tuning, and lightweight