Distinguished Engineer-AI/ML Engineering
- Source: Workday
- Verizon
- $137,000 to $263,000 /yr
- On-site
- Irving
- Full-Time
- Mid level
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…
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 exper…
Skills
- claude-by-anthropic
- claude-code
- sharpen
- Python
- FastAPI
- Kafka
- Spark
- google-cloud-platform
- workday
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