Distinguished Forward Deployed AI Engineer

Cellco Partnership; Basking Ridge (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

Verizon is seeking a Distinguished Forward Deployed AI Engineer to embed with frontline business units. You will architect and deploy production-grade agentic systems, enterprise RAG engines, and full-stack microservices into live operations, driving measurable business impact across multiple cloud runtimes.

You will lead in industry, pairing systems craftsmanship with a product mindset, and mentor engineers while drafting technical docs for patent disclosures.

Qualifications

• Bachelor's degree in CS or related field or four+ years of work experience.
• Eight+ years of relevant experience.
• Extensive hands-on experience leveraging frontier LLMs and agentic frameworks to build scalable solutions.
• Eight+ years shipping production software and/or deploying LLM apps and agentic pipelines.
• Strong proficiency in Python and modern TypeScript/Node.js for full-stack API integrations.
• Experience with Docker and cloud environments (AWS, GCP, Azure).
• Proven track record implementing offline and online evaluation pipelines.
• Deep expertise in retrieval and context architectures for production RAG pipelines and vector databases.

Responsibilities

• Lead end-to-end architectural blueprinting for embedded AI and agentic initiatives.
• Architect agentic orchestration and governance with tools like LangGraph/Temporal.
• Design production RAG infrastructure with hybrid search and metadata filtering.
• Deploy production agent services and workflows to runtimes like Kubernetes and cloud.
• Design evaluation frameworks to measure model drift and hallucinations.
• Create reusable SDKs, APIs, and architectural playbooks for Verizon patent disclosures.
• Collaborate with BU leadership to identify high-leverage AI interventions.
• Explain technical concepts to executives and non-technical stakeholders.

Skills

Python

TypeScript/Node.js

LLMs

Agentic workflows

APIs

Security boundaries

State machines

Retrieval & context

Education

Bachelor's degree in Computer Science or related field

Tools

LangGraph

Temporal

Domino Data Lab

Kubernetes

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...

As a Distinguished Forward Deployed AI Engineer within Verizon's Transformation Command Center (TCC), you will embed directly into the frontline of Verizon's core Business Units to solve our most critical, ambiguous, and high-stakes operational challenges. Operating with total technical ownership, you will architect, build, and deploy production-grade agentic systems, enterprise RAG engines, full-stack microservices, and decision systems into live operations.

You are a technical anchor that leads in industry: you pair deep systems craftsmanship with a product mindset, cutting through operational ambiguity to design production architectures, implement custom orchestration layers (via LangGraph, Temporal, or custom state machines), and enforce context management strategies that scale into enterprise assets. Beyond shipping point solutions, you will run workloads reliably on Domino, Airflow, and Kubernetes, abstracting bespoke code into reusable SDKs, shared libraries, and architectural playbooks that scale company-wide.

Responsibilities include:

• End-to-End Architectural Blueprinting: Lead the design and definitions of the full-stack architecture for embedded AI and agentic initiatives, including multi-agent orchestration, state machines, latency/cost budgets, security boundaries, and enterprise back-end integrations.
• Agentic Orchestration Engineering, Workflow Automation and Governance: Architect stateful agent workflows complying with established agentic governance rules, using tools like LangGraph, Temporal, or event-driven state machines, establishing strict protocols for tool calling, execution sandboxing, and deterministic fallback logic.
• Context & Retrieval Systems: Lead the design of production RAG infrastructure incorporating hybrid search, re-ranking algorithms, metadata filtering, and semantic caching, directly informing and scaling Verizon's context architecture.
• Runtime & Cloud Deployment: Deploy production agent services and scheduled workflows to target runtimes (e.g., Domino Data Lab, Apache Airflow, Kubernetes microservices, and serverless compute across AWS, GCP, or Azure).
• Evaluation Harness Design: Architect offline and online evaluation frameworks (e.g., LLM-as-a-judge, synthetic test generation, human-in-the-loop review queues, live A/B rollouts) to measure model drift, context hallucination rates, and task completion metrics.
• Platform Codification & IP Creation: Generalize custom domain deployments into reusable internal SDKs, API primitives, and modular UI components; mentor engineers across the organization and draft technical documentation for Verizon patent disclosures.
• Strategic Discovery & Scoping: Embed alongside BU leadership to map intricate operational processes, cut through organizational noise, and isolate the highest-leverage intervention points where applied AI delivers measurable uplift.
• Executive Translation: Serve as the technical authority in the room with BU Vice Presidents and Managing Directors, demystifying algorithmic behaviors, failure modes, and performance trade-offs.

What we're looking for...

You'll need to have:

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field or four or more years of work experience.
• Eight or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• Extensive hands-on experience leveraging frontier LLMs (Anthropic Claude, OpenAI, Google Gemini) and agentic developer frameworks (Claude Code, Cursor, Copilot) to build scalable solutions and achieve core business milestones.
• Eight or more years shipping production software and/or demonstrated experience deploying LLM applications, agentic workflows, or autonomous tool-calling pipelines into production.
• Strong proficiency in Python and modern TypeScript/Node.js for full-stack API integration and backend orchestration.
• Experience with containerized deployments (Docker), API design, and cloud environments (AWS, GCP, or Azure).
• Proven track record implementing both offline evaluation benchmarks and online evaluation/observability pipelines (latency, token costs, hallucination tracking, eval-driven development).
• Deep expertise in retrieval and context architectures: designing production RAG pipelines, vector databases (e