AI Engineer – Go To Market

Verizon

. Design, deploy, and optimize Generative AI solutions for the Go-To-Market engine .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates strong proficiency in Python and TypeScript, with a solid understanding of the LLM stack and experience in building web services and integrating complex APIs. Capable of designing and deploying Generative AI solutions that enhance revenue capabilities and improve sales workflows.

Highest-signal resume keywords

Python ProficiencyTypeScript ProficiencyLLM Stack UnderstandingExperience with LangChain/LangGraphSalesforce Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Prompt EngineeringFew-Shot LearningCI/CD ProcessesGitDockerRAG Pipeline DesignAI Orchestration InfrastructureAPI IntegrationReal-Time Audio ProcessingVector Databases

Soft Skills

Empathy with BDR WorkflowProduct-Oriented Mindset

Tools & Technologies

SalesforceGongHubSpotAWS BedrockAzure AI StudioGCP Vertex AIWebRTCDeepgramWhisperAI Evaluation Tools

Industry Keywords

Go-To-MarketRevOpsSales Technology StacksAI-Native PrototypesOpen-Source AI Contributions

Tech Stack

Tools & technologies

ApolloAWSAzureDockerGoogle Cloud PlatformPythonTypeScriptVoIPGo

About the role

Key responsibilities & impact

Design, deploy, and optimize Generative AI solutions for the 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 tools such as Salesforce and Gong
Develop and maintain production-grade AI orchestration infrastructure
Manage prompts, low-latency streaming APIs, and model evaluation frameworks
Use AI-native tools to turn ideas into deployed full-stack MVPs rapidly

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
Solid understanding of the LLM stack
Experience with orchestration frameworks such as LangChain/LangGraph, Strands Agents, or CrewAI
Knowledge of prompt engineering and few-shot learning
Understanding of the difference between fine-tuning and RAG
Experience with Git and Docker
Experience with 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
Preferred: domain expertise in Go-To-Market, RevOps, or sales technology stacks
Preferred: experience with Salesforce, HubSpot, Gong, Apollo, or Clearbit
Preferred: experience building real-time audio/speech-to-text pipelines using WebRTC, Deepgram, or Whisper
Preferred: contributions to open-source AI projects or a portfolio of AI-native prototypes
Preferred: exposure to AWS Bedrock, Azure AI Studio, or GCP Vertex AI
Preferred: experience with vector databases and semantic search
Preferred: experience with AI evaluation and observability tools
Preferred: knowledge of agentic design patterns

Benefits

Comp & perks

Medical, dental, and vision coverage
Short- and long-term disability insurance
Basic and 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 opportunities such as overtime, shift differential, holiday pay, and allowances
Up to 15 days of vacation per year for newly hired employees, increasing with additional service
Award-winning total rewards package