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...

Verizon is driving toward a fully autonomous network. We are looking for a technical leader to architect and build device-side data telemetry, GenAI-powered agents, and predictive analytics platforms. You will create proactive troubleshooting agents and "digital employees" that transform raw device and network telemetry into real-time operational intelligence, powering Verizon's autonomous network vision.

Key Responsibilities

• Device-Side AI & Telemetry: Designing, engineering, and deploying edge-side telemetry pipelines and AI/ML models on devices to collect, process, and analyze real-time performance signals, counters, and event logs.
• Agentic AI & Digital Employees: Architecting and operationalizing GenAI-powered agents, LLMs, retrieval-augmented generation (RAG), and agentic frameworks to function as digital employees capable of proactive troubleshooting, root cause analysis (RCA), and automated decision-making.
• Multi-Cloud & Data Architecture: Building and scaling data analytics and streaming pipelines across cloud platforms (AWS, GCP) to handle high-throughput network and device telemetry.
• Autonomous Network Enablement: Driving proactive fault detection, anomaly detection, and closed-loop remediation workflows to minimize network downtime and optimize 5G network performance.
• Cross-Functional Collaboration: Partnering with network engineering, data science, and product teams to translate complex network pain points into scalable, production-grade AI solutions.
• MLOps & Governance: Establishing end-to-end MLOps/LLMOps practices, including real-time model monitoring, fine-tuning, security guardrails, and automated CI/CD deployment pipelines.

What we're looking for...

You bring deep technical expertise at the intersection of device telemetry, generative AI, cloud computing, and telecommunications. You excel at turning complex network data into intelligent, self-healing actions.

You'll need to have:

• Bachelor's degree or four or more years of work experience.

• Eight or more years of relevant experience in AI/ML engineering, software architecture, and real-time data analytics.

• Experience with Generative AI concepts, including LLMs, prompt engineering, RAG, and agentic multi-agent orchestration frameworks.

• Experience building, deploying, and scaling data analytics and AI solutions across cloud environments, specifically AWS and GCP.

• Strong background in device-side processing, low-latency edge deployment, or resource-constrained model optimization.

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

• Master’s degree or PhD in Computer Science, Data Science, or a related technical field.

• Experience with cloud AI ecosystems and frameworks (e.g., AWS Bedrock, Google Vertex AI, BigQuery, LangChain).

• Understanding of 5G infrastructure, network(4G/5G) protocols, telemetry counters, and operational performance metrics.

• Strong production coding capabilities with Python, SQL, Kafka, Spark, and microservice architectures for real-time streaming telemetry.

• Deep domain expertise in telecommunications (5G RAN, Core, Transport, 5G signaling).

• Experience implementing MLOps/LLMOps pipelines, security guardrails, and model evaluation standards for autonomous systems.

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.