Principal Forward Deployed AI Engineer

Verizon

. Embed directly into Verizon’s core Business Units to solve critical, ambiguous, and high-stakes operational challenges .

Posted 11/12/2026full-timeUnited StatesLead💰 $120,500 - $231,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and deploying production-grade agentic systems and full-stack microservices, with a strong focus on AI initiatives and operational optimization. Proficient in interfacing with enterprise stakeholders to translate business requirements into technical solutions while mentoring engineering teams.

Highest-signal resume keywords

Production-Grade Agentic SystemsFull-Stack MicroservicesPython ProgrammingExperience with Frontier LLMsArchitectural Design for AI Initiatives

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptSQLAgentic Developer FrameworksEvaluation FrameworksProduction Software DeploymentObservability PipelinesContainerized ServicesAPI DesignHybrid Search

Soft Skills

Technical AuthorityStakeholder CommunicationMentoring

Tools & Technologies

Domino Data LabApache AirflowKubernetesAWSGCPAzureDocker

Industry Keywords

TelecommunicationsNetwork Capacity OptimizationCapital PlanningCustomer Care OperationsAgentic Governance

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesMicroservicesNode.jsPythonSQLTypeScript

About the role

Key responsibilities & impact

Embed directly into Verizon’s core Business Units to solve critical, ambiguous, and high-stakes operational challenges
Architect, build, and deploy production-grade agentic systems, enterprise RAG engines, full-stack microservices, and decision systems
Define full-stack architectures for embedded AI initiatives, including multi-agent orchestration, state machines, latency/cost budgets, security boundaries, and enterprise backend integrations
Architect stateful agent workflows using LangGraph, Temporal, or event-driven state machines
Establish protocols for tool calling, execution sandboxing, deterministic fallback logic, and agentic governance
Design production RAG infrastructure with hybrid search, re-ranking, metadata filtering, and semantic caching
Deploy production agent services and scheduled workflows to Domino Data Lab, Apache Airflow, Kubernetes, and serverless cloud runtimes
Architect offline and online evaluation frameworks for model drift, hallucination rates, and task completion metrics
Generalize custom deployments into reusable SDKs, API primitives, modular UI components, and architectural playbooks
Mentor engineers and draft technical documentation for Verizon patent disclosures
Work with Business Unit leadership to map operational processes and identify high-leverage AI intervention points
Serve as technical authority for Vice Presidents and Managing Directors, explaining algorithmic behavior, failure modes, and performance trade-offs

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field or four or more years of work experience
Six or more years of relevant experience, demonstrated through work and/or military experience or specialized training
Extensive hands-on experience with frontier LLMs including Anthropic Claude, OpenAI, and Google Gemini
Experience with agentic developer frameworks including Claude Code, Cursor, and Copilot
Four or more years of shipping production software and/or deploying LLM applications, agentic workflows, or autonomous tool-calling pipelines into production
Proficiency in Python and modern TypeScript/Node.js
Experience implementing offline evaluation benchmarks and online evaluation/observability pipelines
Advanced full-stack programming experience in Python, SQL, and modern JavaScript/TypeScript stacks
Experience designing evaluation harnesses, guardrail frameworks, and observability systems
Ability to scope ambiguous technical initiatives and present architectural designs to senior executive stakeholders
Ability to interface directly with enterprise stakeholders, translate ambiguous business requirements into technical architectures, and lead project delivery end-to-end
Master’s degree in Computer Science, Machine Learning, Robotics, or a related technical field (even better)
Experience with centralized context platforms or enterprise search engines
Prior forward-deployed engineering, solutions architecture, or technical consulting experience
Experience turning operational builds into enterprise-wide shared libraries, with technical publications or filed patents
Domain knowledge in telecommunications, network capacity optimization, capital planning, or large-scale customer care operations
Expertise in retrieval and context architectures, production RAG pipelines, vector databases, hybrid search, and dynamic context management
Experience deploying containerized services and data workflows across Domino Data Lab, Apache Airflow, Kubernetes, AWS, GCP, or Azure
Experience with Docker, API design, and cloud environments

Benefits

Comp & perks

Medical, dental, and vision insurance
Short- and long-term disability insurance
Basic and supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home and auto insurance
Matched 401(k) savings plan
Up to 8 company-paid holidays per year
Up to 6 personal days per year
Paid parental leave
Adoption assistance
Tuition assistance
Premium pay such as overtime, shift differential, holiday pay, and allowances, depending on the role
Up to 15 days of vacation per year for newly hired employees, increasing with additional service
Award-winning total rewards package