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Verizon

AI Engineer – Go To Market

Verizon

. Design, deploy, and optimize Generative AI solutions for Verizon's Go-To-Market engine .

Posted 10/8/2026full-timeUnited StatesMid-LevelSenior💰 $120,500 - $231,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates strong proficiency in Python and TypeScript for developing Generative AI solutions, with expertise in LLM orchestration frameworks and integration of AI workflows into sales platforms. Possesses a product-oriented mindset with domain expertise in Go-To-Market strategies and sales technology stacks.

Highest-signal resume keywords
Python ProficiencyTypeScript ProficiencyLLM Orchestration FrameworksAI Workflow IntegrationGo-To-Market Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Prompt EngineeringFew-Shot LearningWeb Services DevelopmentAPI IntegrationReal-Time Audio ProcessingVector DatabasesSemantic SearchAI Evaluation ToolsProduction-Grade AI InfrastructureAI-Native Development Tools
Soft Skills
Empathy with BDR WorkflowProduct-Oriented Mindset
Tools & Technologies
SalesforceGongGitDockerCI/CD ProcessesAWS BedrockAzure AI StudioGCP Vertex AIWebRTCDeepgram
Industry Keywords
Generative AIRevOpsSales Technology StacksAI OrchestrationAgentic Design Patterns

Tech Stack

Tools & technologies
ApolloAWSAzureDockerGoogle Cloud PlatformPythonTypeScriptVoIPGo

About the role

Key responsibilities & impact
  • Design, deploy, and optimize Generative AI solutions for Verizon's Go-To-Market engine
  • Build and refine LLM-powered features and autonomous agents for revenue capabilities
  • Design and implement RAG pipelines connecting proprietary data with large language models
  • Rapidly prototype AI solutions for lead enrichment, personalized outreach, and CRM automation
  • Integrate AI workflows into sales platforms such as Salesforce and Gong
  • Develop and maintain production-grade AI orchestration infrastructure
  • Manage prompts, low-latency streaming APIs, and model evaluation frameworks
  • Rapidly build and deploy full-stack MVPs using AI-native development tools

Requirements

What you’ll need
  • Strong proficiency in Python/TypeScript
  • Experience building web services or integrating complex APIs, especially CRM, VoIP, or sales engagement platforms
  • Experience with LLM orchestration frameworks such as LangChain/LangGraph, Strands Agents, or CrewAI
  • Knowledge of prompt engineering, few-shot learning, and the difference between fine-tuning and RAG
  • Experience with Git, Docker, and CI/CD processes
  • Product-oriented and revenue-focused mindset
  • Ability to empathize with a BDR's workflow and design actionable AI outputs during live calls
  • Comfort generating code with AI and refining it precisely
  • Domain expertise in Go-To-Market, RevOps, or sales technology stacks such as Salesforce, Hubspot, Gong, Apollo, or Clearbit
  • Experience building real-time audio/speech-to-text processing pipelines using technologies such as WebRTC, Deepgram, or Whisper
  • Contributions to open-source AI projects or a portfolio of AI-native prototypes
  • Exposure to AWS Bedrock, Azure AI Studio, or GCP Vertex AI
  • Experience with vector databases and semantic search
  • Experience with AI evaluation and observability tools
  • Knowledge of agentic design patterns

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 & 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
  • Hybrid work arrangement with working from home and a minimum of three days per week in the office