Jobs at Verizon

Leads the architecture, development, and deployment of large-scale AI/ML, generative AI, and agentic systems. Responsibilities include designing end-to-end ML pipelines, fine-tuning and evaluating LLMs, mentoring data science and engineering teams, establishing secure and ethical AI practices, and providing technical thought leadership. The role also covers model monitoring, MLOps, distributed infrastructure, conversational data analysis, cross-functional collaboration, and adoption of emerging AI technologies.

Develops agentic AI solutions, statistical models, optimization methods, dashboards, and actionable analytics for supply chain and operations. Builds and validates models using large-scale data, integrates LLM APIs and agentic frameworks, ensures data quality, and translates business problems into analytical solutions. Partners with data scientists, engineers, and stakeholders to deliver production-grade AI products and communicate business implications.

Leads the architecture, development, and deployment of large-scale AI/ML, generative AI, and agentic systems. Responsibilities include designing data pipelines and model architectures, fine-tuning and evaluating LLMs, mentoring AI teams, establishing MLOps and validation best practices, ensuring secure and ethical deployments, and partnering with product and business stakeholders. The role also provides technical thought leadership, analyzes conversational data, and drives scalable AI innovation.

Lead an engineering pod building Verizon’s enterprise AI governance ecosystem. Architect automated governance pipelines, integrate AI development platforms with security and responsible-AI hubs, implement agent simulation and production LLM observability, build governance API integrations, and design IAM and routing for secure autonomous workflows. The role also establishes enterprise standards, manages AI infrastructure costs, negotiates risk guardrails, and drives innovation through advanced evaluation metrics and patents.

Leads architecture, development, deployment, and optimization of large-scale AI/ML, generative AI, and agentic systems. Oversees data pipelines, model training, monitoring, validation, and lifecycle practices while mentoring data science and engineering teams. Partners with product and business stakeholders, establishes secure and ethical AI standards, analyzes conversational data, evaluates emerging technologies, and provides technical thought leadership on scalable model architectures and MLOps.

Designs, deploys, and manages end-to-end AI/ML, Generative AI, and Agentic AI solutions for telecom financial operations. Builds data pipelines, advanced SQL queries, statistical and machine learning models, and MLOps/LLMOps workflows using Python, GCP, BigQuery, and related tools. Translates model outputs into actionable insights for finance leaders while automating forecasting, profitability, credit, cash flow, and other financial processes.

Supports sourcing teams by drafting, reviewing, redlining, and negotiating supplier contracts. Owns end-to-end transactions including master agreements, amendments, SOWs, and termination notices; manages compliance, risk analysis, stakeholder collaboration, contract databases, governance metrics, templates, and process improvements. Uses AI and enterprise legal technology to improve contracting efficiency. Requires a law degree and 5+ years of legal or contract management experience.

Lead advanced threat-hunting missions, investigate cyber threats and insider misconduct, develop IOCs and IOAs, analyze cloud and security data, improve detection and incident-response capabilities, support digital forensics, participate in purple-team exercises, present executive metrics, and mentor cybersecurity team members.

Designs, builds, deploys, and optimizes scalable AI/ML platforms for training, fine-tuning, and inference. Implements cloud-native AI solutions across GCP, AWS, and hybrid environments; develops automation, operates cloud infrastructure, and scales containerized AI services. Partners with technical leaders to establish engineering best practices and build reusable AI/ML products using Kubernetes-based platforms including EKS, AKS, GKE, and OpenShift AI.

Manage the end-to-end software publisher lifecycle in Flexera One, including onboarding, contract and entitlement interpretation, license position reporting, compliance monitoring, inventory normalization, platform health, integrations, and cost optimization. Reconcile installations and usage with entitlements, identify shelfware and unmanaged software, support ServiceNow and discovery integrations, and present executive reporting on compliance risk and savings.

Leads software asset management strategy and hands-on Flexera implementation for major publishers. Responsibilities include license configuration, compliance monitoring, cost optimization, vendor-audit defense, data normalization, integrations with ServiceNow and cloud platforms, analyst mentoring, and executive reporting on compliance risk and savings.