Distinguished 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 StatesSeniorLead💰 $137,000 - $263,000 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 operational efficiency and AI integration. Proficient in leading technical initiatives, mentoring engineers, and translating complex business requirements into actionable technical architectures.

Highest-signal resume keywords

Production-Grade Agentic SystemsFull-Stack MicroservicesPython ProgrammingExperience with LLMsKubernetes Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptSQLDockerAPI DesignRAG PipelinesHybrid SearchEvent-Driven State MachinesOffline Evaluation FrameworksObservability Systems

Soft Skills

MentoringStakeholder CommunicationProject Delivery Leadership

Tools & Technologies

Domino Data LabApache AirflowAWSGCPAzure

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Machine Learning

Industry Keywords

TelecommunicationsCustomer GrowthCustomer SegmentationLarge-Scale Customer Care Operations

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
Lead full-stack architecture design for embedded AI and agentic initiatives
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, 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 to measure model drift, hallucination rates, and task completion metrics
Generalize custom deployments into reusable SDKs, API primitives, shared libraries, and modular UI components
Mentor engineers and draft technical documentation for Verizon patent disclosures
Work with Business Unit leadership to map operational processes and identify high-leverage applied AI opportunities
Advise Vice Presidents and Managing Directors by 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
Eight 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
Eight or more years shipping production software and/or experience deploying LLM applications, agentic workflows, or autonomous tool-calling pipelines into production
Strong 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
Deep expertise in 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, and hyperscaler cloud environments
Advanced full-stack programming experience and mastery of 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 is an additional qualification
Experience building and scaling centralized context platforms or enterprise search engines is an additional qualification
Prior forward-deployed engineering, solutions architecture, or technical consulting experience in top-tier technology firms or hyperscalers is an additional qualification
Record of turning one-off operational builds into enterprise-wide shared libraries, with associated technical publications or filed patents is an additional qualification
Domain knowledge in telecommunications, customer growth and retention, customer segmentation, or large-scale customer care operations is an additional qualification

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 opportunities, including overtime, shift differential, holiday pay, and allowances
Up to 15 days of vacation per year for newly hired employees, increasing with additional service
Other incentives
Hybrid work arrangement with work from home and a minimum of three days per week in the office