Verizon

Senior AI Engineer role focused on designing, developing, and operationalizing production-grade Generative AI agents and applications for Verizon's vRAN automation platform. The role involves building LLM-powered pipelines, integrating AI agents with data sources and APIs, optimizing data ingestion, and ensuring deployability, observability, and maintainability within CI/CD frameworks. Key responsibilities include instrumenting and monitoring AI agent performance, maintaining documentation, and staying updated with the LLM ecosystem.

Product development role focused on leveraging Generative AI and Agentic AI capabilities for the Consumer organization within Verizon. The role involves defining use cases, developing business cases, leading discussions on product strategy and vision for AI-powered experiences, and establishing operational processes and evaluation frameworks for Gen AI models and outputs. It requires collaboration with Data Science, AI&D, and other teams to refine prompts, evaluate model performance, and implement AI solutions like RAG and agentic workflows.

Distinguished Network Security Engineer responsible for securing and hardening Verizon's Telemetry networks. This role involves translating security frameworks into concrete configurations, expertise in network protocols, SIEM tools, automation, threat detection, incident response, and continuous security validation. A key responsibility is creating AI Agentic workflows to discover Indicators of Compromise and leveraging tools like Python and Ansible for automated audits.

Product Manager to drive the vision and execution of AI-powered marketing solutions. This role involves partnering with marketing leaders to understand challenges, design AI systems, and own the full lifecycle from discovery through launch. Responsibilities include strategic vision, hands-on prototyping with AI agents and frameworks (Claude Code, Python, LangChain), building core AI capabilities, engineering RAG pipelines, developing guardrails for safety and compliance, establishing MLOps best practices, and providing technical leadership. The role requires a systems thinker who uses code to validate ideas and has experience shipping products end-to-end, particularly agentic systems or multi-step AI workflows.