Distinguished Engineer-AI/ML Engineering

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...

You'll be at the forefront of Verizon's journey toward Autonomous Network Level 4 — transforming our Network Monitoring Center (NMC), Network Assurance, and System Performance operations from reactive to fully autonomous. You'll define and drive the AI engineering, platform, and architecture strategy & implementation that powers real-time network intelligence across Verizon's world-class infrastructure. From proactive fault detection and alarm correlation to AI-driven root cause analysis and closed-loop remediation, your work will directly reduce network downtime, accelerate recovery, and enhance the experience of millions of customers. You'll lead a team of AI engineers and data engineers in architecting, building, and scaling the agentic AI systems, predictive platforms, and real-time decision engines that put network autonomy within reach — with human engineers in the loop. Your mission is to operationalize and deploy robust AI solutions that turn every network signal into an intelligent action, making Verizon's network smarter, faster, and more self-healing every day.

• AI Team Leadership: Leading a high-performing AI Engineering team focused on Network AI use cases — coaching, mentoring, assessing performance, and setting production standards while embedding generative AI capabilities (such as Claude Code) into daily software and prompt engineering workflows to accelerate delivery and modernize toolsets.

• Stakeholder Collaboration: Partnering with Network Monitoring Center, Network Assurance, and System Performance stakeholders to translate network pain points into autonomous, agent-driven engineering solutions — spanning network health monitoring, proactive performance degradation detection, intelligent fault triaging, and real-time recovery recommendations for network engineers.

• Signal Optimization: Driving network health optimization through intelligent fault signal quality improvements — building AI systems that suppress alarm noise, eliminate non-actionable tickets, and deliver automated diagnostic and resolution workflows that reduce mean-time-to-repair and sharpen the focus of network engineering teams

• Self-Optimizing Networks: Engineering AI systems for Self Optimizing Networks including Autonomous Network Configuration management and execution of self-healing actions across multi-vendor network environments at scale.

• Autonomous AI Architecture: Defining and executing the AI software architecture and system deployment strategy that drives the full autonomous network lifecycle: anomaly detection pipelines, multi-signal fault correlation, causal root cause analysis (RCA), failure prediction, real-time Next Best Action (NBA) engines, and closed-loop remediation automation — all with human engineers on the loop.

What we’re looking for...

You are a recognized technical leader at the intersection of AI software engineering, production system design, and telecommunications network operations. You combine deep hands-on AI systems engineering expertise with a clear-eyed understanding of network performance, fault management, and assurance systems. You possess the strategic engineering vision to architect Verizon's path to Autonomous Network Level 4 and the execution depth to build, scale, and deploy the production AI systems that will get us there. You can design scalable software architectures to distill complex, high-volume network telemetry into actionable intelligence and communicate technical designs convincingly to both engineering teams and senior leadership. Above all, you are an inspiring leader who cultivates high-performing software and AI teams through care, candor, and a relentless commitment to engineering excellence.

You’ll need to have:

• 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.

• Experience in AI/ML engineering, software architecture, and production deployment of large-scale operational systems, including anomaly detection, time-series forecasting, or fault classification on high-volume telemetry or event data.

• Experience building, scaling, and operationalizing real-time AI systems such as anomaly detection & clustering pipelines (e.g., Isolation Forest, Autoencoder, CUSUM, DBSCAN), root cause analysis services, and Next Best Action (NBA) recommendation engines using multi-dimensional feature engineering.

• Experience architecting and deploying end-to-end software pipelines that translate complex operational data — such as network alarms, performance counters, and system event logs — into AI models and actionable automated workflows.

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

• Master's degree or PhD in Computer Science, Computer Engineering, Software Engineering, Data Science, or a related quantitative field.

• Strong production coding experience with Python, FastAPI, SQL, Kafka, Spark, microservices, and RESTful APIs for building high-throughput, real-time data pipelines and scalable AI inference services.

• Experience with cloud platforms (GCP, BigQuery) and streaming data architectures for processing high-throughput network telemetry at enterprise scale.

• Domain expertise in telecommunications network operations — including familiarity with RAN, Core, or Transport network layers, FCAPS frameworks, network KPIs, and alarm management systems.

• Experience designing, building, and deploying Agentic AI systems or multi-agent orchestration frameworks for autonomous decision-making and closed-loop automation in production environments.

• Experience utilizing GenAI/LLM tools (e.g., Claude Code) to accelerate software delivery, automate engineering workflows, and build intelligent network assistant capabilities.

• Demonstrated communication, cross-functional leadership, and stakeholder management skills, with a proven ability to align technical strategy with business outcomes and resolve executive escalations.

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.

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 veteran status, disability or other legally protected characteristics.

Benefits and Compensation

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: $137,000.00 - $263,000.00.