Principal Forward Deployed AI Engineer

Verizon

. Architect, build, and deploy production-grade agentic systems, enterprise RAG engines, full-stack microservices, and decision systems into live operations .

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 evaluation frameworks. Proficient in Python, TypeScript, and cloud environments, with a proven ability to translate business requirements into technical architectures.

Highest-signal resume keywords

Production Software DeploymentAgentic WorkflowsFrontier LLMs ExperienceFull-Stack ProgrammingArchitectural Design Presentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptNode.jsSQLDockerAPI DesignProduction RAG PipelinesEvaluation FrameworksHybrid SearchDynamic Context Management

Soft Skills

MentoringTechnical DocumentationStakeholder CommunicationProject Delivery LeadershipTranslating Business Requirements

Tools & Technologies

Domino Data LabApache AirflowKubernetesAWSGCPAzureClaude CodeCursorCopilotVector Databases

Industry Keywords

TelecommunicationsNetwork Capacity OptimizationCapital PlanningCustomer Care OperationsAgentic Governance

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesMicroservicesNode.jsPythonSQLTypeScript

About the role

Key responsibilities & impact

Architect, build, and deploy production-grade agentic systems, enterprise RAG engines, full-stack microservices, and decision systems into live operations
Define full-stack architectures for embedded AI initiatives, including multi-agent orchestration, state machines, latency/cost budgets, security boundaries, and 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 on Domino Data Lab, Apache Airflow, Kubernetes, and serverless AWS, GCP, or Azure environments
Architect offline and online evaluation frameworks for model drift, hallucination rates, and task completion metrics
Generalize domain deployments into reusable SDKs, API primitives, modular UI components, and enterprise architectural playbooks
Mentor engineers and draft technical documentation for Verizon patent disclosures
Work with business-unit leadership to identify high-leverage applied AI opportunities
Explain algorithmic behavior, failure modes, and performance trade-offs to Vice Presidents and Managing Directors

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
Six or more years of shipping production software and/or experience deploying LLM applications, agentic workflows, or autonomous tool-calling pipelines into production
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
Proficiency in Python and modern TypeScript/Node.js
Experience with Docker, API design, and AWS, GCP, or Azure
Experience implementing offline evaluation benchmarks and online evaluation/observability pipelines
Experience deploying containerized services and data workflows across Domino Data Lab, Apache Airflow, Kubernetes, and hyperscaler cloud environments
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 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 is an additional qualification
Experience with centralized context platforms or enterprise search engines
Prior forward-deployed engineering, solutions architecture, or technical consulting experience
Experience turning one-off 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 production RAG pipelines, vector databases, hybrid search, and dynamic context management

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 service
Hybrid work arrangement
Incentive-based compensation with potential to earn more