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Verizon

Forward Deployed Engineer

Verizon

. Lead projects developing and performing complex AI-first, agentic, statistical, analytical, and advanced modeling for long-term network capacity planning .

Posted 11/3/2026full-timeUnited StatesMid-LevelSenior💰 $101,000 - $194,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in AI modeling, capacity planning, and advanced analytics, with proficiency in Python, R, and SQL. Capable of designing and deploying agentic AI workflows and optimizing network capacity through innovative solutions.

Highest-signal resume keywords
AI ModelingPython ProficiencySQL ExperienceAgentic AI WorkflowsNetwork Capacity Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Statistical ModelingAdvanced AlgorithmsTime Series AnalysisMathematical OptimizationPrescriptive ModelingData EngineeringFull-Stack Web Application DevelopmentAPI DevelopmentPerformance OptimizationCapacity Planning
Soft Skills
Independent WorkCollaborationTechnical CommunicationCreativityProcess Improvement
Tools & Technologies
AlteryxKnimeGoogle Cloud PlatformAmazon Web ServicesFastAPIFletMarimoLangChainAutoGenClaude/GPT
Industry Keywords
Network Capacity PlanningAgent-Based ModelingSimulation AccuracyStakeholder EngagementEngineering Budget Cycles

Tech Stack

Tools & technologies
AWSCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Lead projects developing and performing complex AI-first, agentic, statistical, analytical, and advanced modeling for long-term network capacity planning
  • Develop and use AI for capacity simulations and optimization in partnership with business stakeholders
  • Identify modeling techniques, technologies, and industry trends that improve simulation accuracy, speed, and quality
  • Develop AI, agent-based, and algorithmic models for network elements and processes supporting the three-year capital budget
  • Design new capacity models and obtain agreement from NCS and business teams
  • Operate the model at multiple annual checkpoints
  • Create hardened deployments, documentation, and plans for future process automation
  • Plan model upgrades using alternate algorithms, AI science, and additional input features
  • Pilot AI tools, agentic workflows, LLM-assisted coding, and automated documentation/reporting
  • Accelerate model development, scenario testing, and stakeholder deliverables
  • Resolve software development roadblocks and escalate when appropriate
  • Present created systems to leaders and engineers
  • Protect Verizon intellectual property by pursuing patents when appropriate
  • Support accurate capacity plans so downstream finance teams can fund network expansion and operations

Requirements

What you’ll need
  • Bachelor's degree or four or more years of work experience
  • Four or more years of relevant experience, demonstrated through work and/or military experience or specialized training
  • Intermediate proficiency in Python or R
  • SQL experience with a moderate history or portfolio of accomplished projects
  • Intermediate proficiency in Alteryx or Knime
  • Experience building or integrating agentic AI workflows, including LLM-based agents, tool-use/function-calling pipelines, or automation frameworks such as LangChain, AutoGen, or Claude/GPT-based agents
  • Passion for creativity, AI, innovation, process improvement, advanced algorithms, and independent software design
  • Ability to work independently, determine next steps in the absence of requirements, and collaborate appropriately
  • Ability to communicate technical information to technical and non-technical audiences
  • Degree in business intelligence and analytics, data science, engineering, computer science, mathematics, or similar preferred
  • Experience in time series analysis or forecasting preferred
  • Experience in engineering investigations, performance optimization, or network capacity management preferred
  • Experience navigating engineering budget cycles preferred
  • Experience gathering requirements and translating them into software practices preferred
  • Experience with data engineering preferred
  • Knowledge of Google Cloud Platform or Amazon Web Services preferred
  • Experience with high-performance containerized GPU environments preferred
  • Foundation in mathematical optimization, prescriptive modeling, and network capacity management preferred
  • Experience designing, architecting, and deploying full-stack web applications and APIs using FastAPI, Flet, Marimo, and high-performance BI dashboards preferred

Benefits

Comp & perks
  • Medical, dental, and vision benefits
  • Short- and long-term disability insurance
  • Basic life insurance
  • 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
  • Other incentives
  • Potential premium pay, including overtime, shift differential, holiday pay, and allowances
  • Up to 15 days of vacation per year for newly hired employees, increasing with additional service