Associate Director, AI Engineering – Live Operations

Verizon

Associate Director leading AI engineering and live operations at Verizon. Focused on optimizing deployed models and ensuring operational efficiency for commercial AI applications.

Posted 7/22/2026full-timeBasking Ridge • New Jersey, Texas • 🇺🇸 United StatesSenior💰 $126,000 - $242,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing data science teams and optimizing AI model performance through continuous evaluation and automated deployment processes. Proficient in developing safety protocols and fallback architectures to ensure operational efficiency in AI applications.

Highest-signal resume keywords

Team ManagementDeep Learning FrameworksAutomated Model MonitoringCI/CD Pipeline DevelopmentReal-Time AI Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceModel OptimizationDeep LearningPythonJavaRGenerative AIAutomated Safety FiltersModel Drift DetectionCloud Computing

Soft Skills

Technical LeadershipCollaborationProblem-SolvingCommunication

Tools & Technologies

AWSHadoopDistributed Computing SystemsCI/CD ToolsReal-Time Monitoring Tools

Industry Keywords

Production LifecycleOperational EfficiencyIncident Response ProtocolsFallback ArchitecturesLiveOps

Tech Stack

Tools & technologies

AWSCloudHadoopJavaPythonPyTorch

About the role

Key responsibilities & impact

use technical expertise in data science and real-time AI systems to lead a team focused on the production lifecycle, health, and optimization of deployed models
ensure commercial AI applications remain highly accurate, safe, and operationally efficient
monitor and observe real-world model performance to proactively detect model drift, track latency, and manage computational expenses
design and implement continuous evaluation loops to assess model accuracy on a day-to-day basis
manage incident response protocols and automated safety guardrails
establish fallback architectures to ensure a seamless experience if a model fails
automate continuous deployment (CI/CD) pipelines
operate as a technical thought leader and trusted advisor to partner with broader data science teams and senior leadership

Requirements

What you’ll need

Bachelor’s degree or four or more years of work experience
Eight or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training
Direct experience managing teams of data scientists or research-oriented talent in a production, operations, or LiveOps capacity
In-depth working experience with deep learning frameworks (such as PyTorch), Generative AI, and distributed computing systems
Experience building and maintaining automated model monitoring, evaluation, and CI/CD pipelines in a cloud or edge production environment
Proficiency in developing real-time safety filters, system guardrails, and automated fallback systems for conversational or predictive AI
Coding proficiency in Python, Java, or R, alongside experience with AWS, Hadoop, or other distributed compute platforms

Benefits

Comp & perks

medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance
401(k) savings plan
8 company paid holidays per year
6 personal days per year
paid parental leave
adoption assistance
tuition assistance
up to 15 days of vacation per year