Principal Forward Deployed AI Engineer

Verizon

. Define full-stack architecture for embedded AI initiatives, including multi-agent orchestration, state machines, latency/cost budgets, security boundaries, and enterprise backend integrations .

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

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full-stack architecture for embedded AI initiatives, including proficiency in Python, TypeScript, and deployment across cloud environments like AWS, GCP, or Azure. Capable of mentoring engineers and interfacing with enterprise stakeholders to translate business requirements into technical solutions.

Highest-signal resume keywords

Full-Stack ArchitectureEmbedded AI InitiativesPython ProficiencyDeployment Across Cloud EnvironmentsExperience with LLMs

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonTypeScriptNode.jsSQLDockerAPI DesignLangGraphTemporalRAG InfrastructureAgentic Workflows

Soft Skills

MentoringTechnical DocumentationStakeholder CommunicationProject Delivery

Tools & Technologies

Domino Data LabApache AirflowKubernetesAWSGCPAzureClaude CodeCursorCopilotVector Databases

Industry Keywords

TelecommunicationsNetwork Capacity OptimizationCapital PlanningCustomer Care OperationsMachine Learning

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesMicroservicesNode.jsPythonSQLTypeScript

About the role

Key responsibilities & impact

Define full-stack architecture 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, and deterministic fallback logic
Design production RAG infrastructure with hybrid search, re-ranking algorithms, metadata filtering, and semantic caching
Deploy production agent services and scheduled workflows to Domino Data Lab, Apache Airflow, Kubernetes microservices, and serverless compute across AWS, GCP, or Azure
Architect offline and online evaluation frameworks, including LLM-as-a-judge, synthetic test generation, human-in-the-loop review queues, and live A/B rollouts
Measure model drift, context hallucination rates, and task completion metrics
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
Embed alongside business-unit leadership to map operational processes and identify high-leverage applied AI opportunities
Serve as technical authority for business-unit Vice Presidents and Managing Directors, explaining algorithmic behaviors, failure modes, and performance trade-offs
Take total technical ownership of production-grade agentic systems, enterprise RAG engines, full-stack microservices, and decision systems in live operations

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
Six or more years of shipping production software and/or experience deploying LLM applications, agentic workflows, or autonomous tool-calling pipelines into production
Proficiency in Python and modern TypeScript/Node.js
Experience with containerized deployments, 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, EKS/GKE, and hyperscaler cloud environments
Advanced full-stack programming experience in Python, SQL, and modern JavaScript/TypeScript stacks
Experience designing offline/online evaluation harnesses, guardrail frameworks, and observability systems
Ability to independently 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 (preferred)
Experience building and scaling centralized context platforms or enterprise search engines
Prior forward-deployed engineering, solutions architecture, or technical consulting experience in top-tier technology firms or hyperscalers
Record of turning one-off operational builds into enterprise-wide shared libraries, with associated 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

Benefits

Comp & perks

Medical, dental, and vision insurance
Short- and long-term disability insurance
Basic life insurance
Supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home & 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
Other incentives
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
Hybrid work arrangement with work from home and a minimum of three days per week in the office