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Verizon

Principal Engineer – AI/ML Engineering

Verizon

. Lead the technical vision, architectural design, and execution of agentic AI/ML solutions within Verizon Consumer Group’s AI team .

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 designing and implementing scalable AI/ML solutions, with a strong focus on agentic systems and compliance standards. Proven ability to lead technical strategy and mentor engineering teams while ensuring alignment with business objectives.

Highest-signal resume keywords
AI/ML System Design and DeploymentPython ProgrammingAgile MethodologiesCloud-Native Application Deployment on GCPMulti-Agent Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI/ML Pipeline DevelopmentProduction Conversational AIAsynchronous API DesignModel Context Protocol ImplementationRAG and EmbeddingsDocker and CI/CD PipelinesAutomated AI EvaluationsPostgreSQLRedisFastAPI
Soft Skills
Technical LeadershipMentoringCollaborationCommunicationStrategic Planning
Tools & Technologies
Google ADKLangGraphLangChainOpenTelemetryNew RelicArize PhoenixGalileoCloud RunCloud SQLBigQuery
Certifications & Qualifications
Bachelor's DegreeMaster's Degree or PhD in Computer Science or Data Science
Industry Keywords
Agentic AICognitive FrameworksData Privacy ComplianceEnterprise Tool IntegrationCustomer-Service PlatformsRetail WorkflowsIVRBillingOrderingTransaction Safeguards

Tech Stack

Tools & technologies
BigQueryCloudDockerElasticSearchGoogle Cloud PlatformGraphQLPostgresPythonRedisSOAPSQL

About the role

Key responsibilities & impact
  • Lead the technical vision, architectural design, and execution of agentic AI/ML solutions within Verizon Consumer Group’s AI team
  • Drive technical strategy, research, and application of advanced agentic AI, LLMs, and cognitive frameworks for consumer challenges
  • Design and implement production-grade, scalable AI/ML pipelines and agent architectures for digital and customer-success platforms
  • Collaborate with GTS Architecture, Security, Legal, Customer Service Operations, and VCG Strategy teams
  • Ensure agentic systems meet data privacy, compliance, and engineering standards
  • Identify high-impact business applications and translate them into technical designs
  • Develop and maintain a three-to-five-year technical roadmap for VCG agentic systems
  • Mentor engineers and establish engineering best practices
  • Introduce red-teaming methodologies to test system capabilities and safety boundaries
  • Present technical concepts, architectures, and AI breakthroughs to executives

Requirements

What you’ll need
  • Bachelor’s degree or four or more years of work experience
  • Six or more years of relevant experience, demonstrated through work experience and/or military experience
  • Three or more years of experience designing, building, and deploying production AI/ML systems at scale
  • Experience with software development methodologies such as Agile
  • Master’s degree or PhD in Computer Science, Data Science, or a related quantitative field preferred as an “even better” qualification
  • Hands-on experience with production conversational AI, Python, Google ADK, LangGraph, LangChain, or comparable frameworks
  • Experience with multi-agent orchestration, stateful workflows, and enterprise tool integration
  • Experience designing asynchronous APIs and services using FastAPI and Pydantic
  • Experience integrating enterprise REST, GraphQL, or SOAP services
  • Experience implementing Model Context Protocol and agent-to-agent communication
  • Experience with RAG, embeddings, Elasticsearch/vector search, semantic routing, and LiteLLM
  • Experience deploying cloud-native AI applications on GCP, including Cloud Run, Cloud SQL, Cloud Storage, and BigQuery
  • Experience with Docker and CI/CD pipelines
  • Knowledge of PostgreSQL and Redis
  • Experience developing automated AI evaluations and regression tests, including pytest
  • Experience with tool-call and conversation-trajectory validation and LLM-as-judge evaluations
  • Experience with AI observability and production troubleshooting using OpenTelemetry, New Relic, Arize Phoenix, Galileo, or comparable tools
  • Familiarity with Pega and Digital Hub customer-service platforms
  • Experience integrating AI into retail, IVR, billing, ordering, or retention workflows with authorization and transaction safeguards
  • Ability to lead technical architecture, planning, and prioritization across large-scale initiatives in an Agile environment

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
  • Incentive-based compensation opportunity