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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.
As the Associate Director of AI/ML Engineering - Live Operations, you will use your deep technical expertise in data science and real-time AI systems to lead a high-performing team focused on the production lifecycle, health, and optimization of our deployed models. You will play a pivotal role in ensuring our commercial AI applications remain highly accurate, safe, and operationally efficient once they interact with real-world users.
At Verizon, we are on a multi-year journey to industrialize our data science and AI capabilities. Very simply, this means that AI will fuel decisions and business processes across the company. At over one hundred thirty billion dollars in annual revenue, this is a pioneering opportunity to design, scale, and maintain production AI in the telecommunications industry. With our leadership in bringing 5G network nationwide, the opportunity for AI will only grow exponentially as we transition from enabling billions of automated, real-time predictions to trillions.
Leading a talented, diverse team of AI scientists focusing on the continuous operations, health, and evolution of live production models.
Monitoring and observing real-world model performance to proactively detect model drift, track latency, and manage computational expenses, including token costs for large language models.
Designing and implementing continuous evaluation loops to systematically capture user feedback and ground-truth outcomes to assess model accuracy on a day-to-day basis.
Managing incident response protocols, rapid hotfixing, and automated safety guardrails to block inappropriate inputs or outputs before they reach the customer.
Establishing fallback architectures, such as routing users to human agents or traditional rule-based systems, to ensure a seamless experience if a model fails.
Automating continuous deployment (CI/CD) pipelines to pull new data, retrain models, test them against strict safety benchmarks, and deploy updates without user disruption.
Operating as a technical thought leader and trusted advisor to partner with broader data science teams, external vendors, and senior leadership.
Building an inclusive, highly engaged team culture that promotes autonomy, technical excellence, and rapid delivery of business outcomes.
This hybrid role will have a defined work location that includes work from home and assigned office days as set by the manager.
You can visualize the big picture strategy but can also break it down into the operational components required to keep complex systems running flawlessly. You understand that once an AI model interacts with live users, the real work begins. You have credibility with engineering and business teams alike because you speak the language of deep data science but can translate technical complexity into clear business value. You are also an inspiring leader who thrives in a fast-paced environment and brings out the best in your team.
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.
Master’s degree in statistics, mathematics, analytics, engineering, computer science, or another technical discipline.
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 (such as Large Language Models, Multimodal LLMs, and Alignment), and distributed computing systems.
Experience building and maintaining automated model monitoring, evaluation, and CI/CD pipelines in a cloud or edge production environment.
High-level understanding of, and the ability to explain, both the software engineering code and the underlying mathematical algorithms.
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.
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: 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. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.
The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $126,000.00 - $242,000.00.