Principal Forward Deployed AI Engineer

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.

As a Principal 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: you pair deep systems craftsmanship with a product mindset, cutting through operational ambiguity to design production architectures, implement custom orchestration layers (via Lang Graph, 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.

• End-to-End Architectural Blueprinting:
  Define the full-stack architecture for embedded AI 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 Lang Graph, Temporal, or event-driven state machines, establishing strict protocols for tool calling, execution sandboxing, and deterministic fallback logic.
• Context & Retrieval Systems:
  Design 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.

You’ll need to have:

• Bachelor’s degree in Computer Science, Software Engineering, or a…