Principal Forward Deployed AI Engineer

Quick Facts

• Role: Principal Forward Deployed AI Engineer

• Focus: Embedded, end-to-end delivery of production agentic AI and enterprise RAG systems

Description

You will embed into Verizon business units to tackle critical, ambiguous operational problems using total technical ownership. The role covers architecture, development, and deployment of production-grade agentic systems, enterprise RAG engines, full-stack microservices, and decision systems. You will also ensure reliable runtime operations and turn bespoke solutions into reusable platform components and SDKs.

Responsibilities

• Define full-stack architecture for embedded AI initiatives (multi-agent orchestration, state machines, latency/cost budgets, security boundaries, enterprise integrations)

• Engineer agentic orchestration and stateful workflows with governance (LangGraph, Temporal, or event-driven state machines), including tool-calling protocols, sandboxing, and deterministic fallbacks

• Build production RAG infrastructure (hybrid search, re-ranking, metadata filtering, semantic caching)

• Deploy agent services and scheduled workflows to Domino, Apache Airflow, Kubernetes microservices, and serverless compute on AWS/GCP/Azure

• Design evaluation harnesses for offline/online testing (LLM-as-a-judge, synthetic tests, human-in-the-loop queues, live A/B rollouts)

• Generalize deployments into reusable SDKs/API primitives/UI components; mentor engineers and draft technical documentation

• Scope high-leverage operational opportunities with business leadership

• Serve as a technical authority for executive stakeholders on behaviors, failure modes, and trade-offs

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or related field OR 4+ years relevant work experience

• 6+ years of relevant experience

• Hands-on experience with frontier LLMs (Anthropic Claude, OpenAI, Google Gemini) and agentic frameworks (Claude Code, Cursor, Copilot)

• 6+ years shipping production software and/or deploying LLM applications/agentic workflows/autonomous tool-calling pipelines

• Proficiency in Python and TypeScript/Node.js for full-stack API integration and orchestration

• Experience with Docker and cloud environments (AWS/GCP/Azure)

• Proven experience implementing offline evaluation benchmarks and online evaluation/observability pipelines (latency, token costs, hallucination tracking, eval-driven development)

• Proven experience deploying containerized services/workflows on Domino Data Lab, Apache Airflow, Kubernetes (EKS/GKE), and hyperscaler clouds

• Advanced full-stack skills in Python, SQL, and JavaScript/TypeScript

• Track record designing offline/online eval harnesses, guardrails, and observability systems

• Ability to independently scope ambiguous initiatives and present architectures to senior executives

• Ability to translate business requirements into technical architectures and lead end-to-end project delivery

Benefits

• Comprehensive health and wellness coverage (medical, dental, vision, disability, life insurance, AD&D, identity theft protection, pet and home/auto insurance)

• Matched 401(k) savings plan

• Up to 8 company-paid holidays and up to 6 personal days per year

• Paid parental leave, adoption assistance, and tuition assistance

• Potential premium pay depending on role (overtime, shift differential, holiday pay, allowances)

• Up to 15 days of vacation per year for newly hired employees; grows with service

• Salary range (full-time): $120,500.00–$231,000.00, varying by location and experience; incentive-based potential to earn more