AI Platform Engineer

Verizon•Irving, TX

3d•Hybrid

About The Position

Join Verizon as we continue to grow our industry-leading network to improve the ways people, businesses, and things connect. Within this broader mission of Verizon, our team provides cutting-edge AI tooling and capabilities to empower over 15,000 developers across the enterprise. We are seeking a highly skilled and innovative AI Engineer to focus on evaluating, fine-tuning, and deploying open-source models, LLMs, and foundational models, building agentic workflows, and integrating plugins and custom tools with developer platforms (such as GitHub Copilot, Cursor, Devin AI, and Google Antigravity) and our overall Software Development Life Cycle (SDLC). You will handle a wide variety of responsibilities pertaining to designing, building, and deploying AI solutions, agentic workflows, and MCP servers to improve developer productivity across Verizon.

Requirements

Bachelor’s degree or four or more years of work experience.
Four or more years of of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
Experience in AI/ML software engineering, with deep proficiency in developing specialized frameworks.
Experience building MCP servers, tools, and integrations connecting LLM agents to internal systems.
Knowledge of IDE extension development (e.g., VS Code extensions) and developer workflow automation within modern SDLC pipelines.
Experience with developer AI tools like GitHub Copilot, Cursor, and Devin AI.

Nice To Haves

Experience implementing evaluation metrics, monitoring, and tracing using tools.
Experience with open-source models, LLMs, and fine-tuning techniques .
Experience implementing RAG pipelines, vector databases, and multi-agent frameworks (LangChain, LangGraph).
Knowledge of safety filtering, policy enforcement, and compliance governance for LLM deployments .
Experience designing and deploying scalable cloud infrastructure on Google Cloud Platform (GCP), utilizing key AI/ML services like Vertex AI, GKE, BigQuery, and Cloud Run .
Active contributions to open-source agentic frameworks, MCP servers, or developer tooling ecosystems .

Responsibilities

Design, build, and deploy Model Context Protocol (MCP) servers and tools to connect external APIs, internal enterprise tools, and data sources with AI coding agents.
Develop and fine-tune agentic workflows and multi-agent architectures (using frameworks such as LangGraph or LangChain) to automate developer and SDLC tasks.
Apply advanced prompt design, context engineering, dynamic context injection, and hallucination mitigation strategies to maximize efficiency and accuracy.
Evaluate, test, and integrate AI developer tools (GitHub Copilot, Cursor, Devin AI, etc.) and IDE extensions (e.g., VS Code extensions) into the developer workflow.
Evaluate, fine-tune, optimize, and deploy open-source models and foundational LLMs tailored to enterprise needs and developer tools.
Conduct fast-paced research and experimentation on emerging GenAI tools, preview features, and frameworks to keep our internal tools ahead of industry standards.