Director, AI Agent Systems & Enterprise Strategy

Verizon; Florida; Hybrid; USD 126,000 - 242,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) matching

Paid time off

Hybrid work arrangement

Job summary

Verizon is seeking an engineering leader to architect AI agent evaluation, optimization, and governance systems in a hybrid environment. You will guide Principal AI Engineers and Scientists, translating technical realities into deployment decisions while delivering scalable ML infrastructure.

You will drive RL strategies, fine-tune LLMs for throughput and cost efficiency, and integrate with AWS/GCP and registration hubs. Strong leadership across VP/SVP levels is expected.

Qualifications

• Deep AI architecture and ML engineering experience.
• Experience leading Principal AI Engineers and Scientists.
• Proven track record with executive-level influence across LOBs.
• Experience building low-latency, real-time voice or conversational AI at scale.
• Familiarity with frontier model safety evaluations and zero-trust IAM/RBAC architectures.

Responsibilities

• Architect and build the core engineering systems for continuous AI agentic evaluation, validation, and real-time observability across the enterprise.
• Drive advanced AI optimization strategies, including Reinforcement Learning (RL) techniques, harness tuning, and model weights tuning to improve agent accuracy and reliability.
• Lead the fine-tuning of LLMs to increase system throughput and drastically reduce inference costs for agentic evaluation and execution pipelines.
• Design and deploy lightweight classification models and semantic routing architectures to intercept, triage, and reduce expensive frontier LLM calls.
• Direct and mentor a team of Principal AI Engineers and Scientists, planning technical roadmaps and ensuring production data science and ML code is scalable and maintainable.
• Integrate custom evaluation architectures and telemetry systems with AI registration hubs and cloud governance frameworks to automate deployment gates.
• Partner with AI Platform Engineering leaders to embed your evaluation frameworks into the standard developer workflow.

Skills

AI architecture

ML engineering

Reinforcement Learning

LLM fine-tuning

Team leadership

Cloud governance

Education

Masters or PhD in CS/ML/AI

Tools

AWS

GCP

KAIROS

AEGIS

Job description

Verizon is seeking an engineering leader to architect AI agent evaluation, optimization, and governance systems in a hybrid environment. You will guide Principal AI Engineers and Scientists, translating technical realities into deployment decisions while delivering scalable ML infrastructure.

You will drive RL strategies, fine-tune LLMs for throughput and cost efficiency, and integrate with AWS/GCP and registration hubs. Strong leadership across VP/SVP levels is expected.