associate director aiml engineering

Job description

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What you’ll be doing...

In this role, the leader acts as the primary strategic bridge across the enterprise. They interact daily with and rely heavily upon VP and SVP-level executives across Legal, Information Security (InfoSec), and Responsible AI (RAI).

Partner closely with AI Platform Engineering leaders who build the models, and they guide BU-level AI product owners to ensure compliance.

Direct a specialized team of Principal AI Engineers and Scientists

Rely on Verizon's corporate compliance policies, RIL (Responsible AI, Integrity, Legal) frameworks, and industry AI safety standards (e.g., NIST AI RMF).

Utilizes executive dashboards, cloud governance frameworks (AWS/GCP), AI registration hubs (Engram, Agent Registry), and the 4-Quadrant AI Evaluation architecture to make strategic go/no-go deployment decisions.

Responsible for the leveraging of big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are redefined as data science models that are ready to scale as needed.

Manages a team of employees including planning work and dividing it among employees.

Ensures that production ML tasks are working properly and that data science code is maintainable and scalable using subject matter expertise.

What we’re looking for...

You’ll need to have:

Bachelor’s degree or four or more years of work experience.

Ten or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training

Three or more years of managing high-performing engineering/AI teams

Even better if you have one or more of the following:

Experience in AI/GenAI architecture, LLMOps, enterprise risk management, and distributed systems.

Masters in Computer Science or AI Science

Ten or more years of AI Science/Engineering

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to