Senior Agentic AI Engineer — Autonomous Enterprise AI

Verizon; Basking Ridge (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

Verizon is seeking a Senior AI Engineer to lead the development of autonomous, agent-based AI systems. You will design and deploy scalable multi-agent architectures, integrate LLMs with enterprise platforms, and drive intelligent, end-to-end workflows across business domains.

You will own the lifecycle of agentic AI solutions, from feature engineering and training to production deployment and monitoring, ensuring security, reliability, and measurable impact.

Qualifications

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

Responsibilities

• Architecting and deploying scalable multi-agent AI systems—designing agent workflows, communication protocols (A2A), and task delegation hierarchies for fleets of cooperative AI agents.
• Integrating LLMs with enterprise systems via APIs, function calling, and the Model Context Protocol (MCP) to enable agents that can reason, plan, use tools, and act autonomously.
• Building and operating enterprise Agent Factory pipelines—moving from reactive, episodic analytics to autonomous, continuously executing intelligent workflows.
• Designing and implementing retrieval-augmented generation (RAG) systems with ONNX-based embeddings and vector databases to power context-aware, hyper-personalized outputs at scale.
• Managing agent memory and state architecture—implementing short-term, medium-term, and long-term memory using tools like LangGraph for reliable multi-step task execution.
• Owning the full agent and model lifecycle: feature engineering, training, production deployment (Cloud Run, Vertex AI), and continuous monitoring with observability tooling.
• Establishing security guardrails, permission boundaries, short-lived agent identity tokens, and safety constraints for production agentic systems.
• Developing and maintaining propensity models, classification systems, and forecasting solutions that feed downstream agent decision‑making.
• Translating complex agentic AI outputs into clear operational strategies and presenting findings to senior leadership and cross‑functional business partners.
• Performing advanced AI‑augmented analytics and generative AI model validation to ensure accuracy, reliability, and measurable business performance.

Education

Bachelor's degree

Four or more years of experience

Job description

Verizon is seeking a Senior AI Engineer to lead the development of autonomous, agent-based AI systems. You will design and deploy scalable multi-agent architectures, integrate LLMs with enterprise platforms, and drive intelligent, end-to-end workflows across business domains.

You will own the lifecycle of agentic AI solutions, from feature engineering and training to production deployment and monitoring, ensuring security, reliability, and measurable impact.