AI Engineer – Go To Market

Verizon

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

Posted 10/23/2026full-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 expertise in designing and deploying Generative AI solutions, with strong proficiency in Python and TypeScript. Capable of integrating AI workflows into sales tools and developing production-grade AI orchestration infrastructure.

Highest-signal resume keywords

Python ProficiencyTypeScript ProficiencyLLM Stack UnderstandingOrchestration Frameworks ExperienceAI Workflow Integration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Prompt EngineeringFew-Shot LearningFine-TuningWeb Services DevelopmentAPI IntegrationAI Evaluation ToolsReal-Time Audio ProcessingVector DatabasesSemantic SearchAI-Native Prototyping

Soft Skills

Product-Oriented MindsetRevenue-Focused Approach

Tools & Technologies

SalesforceGongGitDockerCI/CD ProcessesAWS BedrockAzure AI StudioGCP Vertex AILangChainLangGraph

Industry Keywords

Go-To-MarketRevOpsSales Technology Stacks

Tech Stack

Tools & technologies

AWSAzureDockerGoogle 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
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
Rapidly build and deploy full-stack MVPs using AI-native tools
Create intuitive AI-native tools that support sales and marketing teams

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 and/or military experience or specialized training
Strong proficiency in Python and TypeScript
Experience building web services or integrating complex APIs, especially CRM, VoIP, or sales engagement platforms
Understanding of the LLM stack
Experience with orchestration frameworks such as LangChain/LangGraph, Strands Agents, or CrewAI
Knowledge of prompt engineering, few-shot learning, and fine-tuning versus RAG
Experience with Git, Docker, and CI/CD processes
Product-oriented and revenue-focused mindset
Domain expertise in Go-To-Market, RevOps, or sales technology stacks is advantageous
Experience with real-time audio/speech-to-text processing pipelines is advantageous
Comfort generating and refining code with AI tools
Contributions to open-source AI projects or a portfolio of AI-native prototypes are advantageous
Exposure to AWS Bedrock, Azure AI Studio, or GCP Vertex AI is advantageous
Experience with vector databases and semantic search is advantageous
Experience with AI evaluation and observability tools is advantageous
Knowledge of agentic design patterns is advantageous

Benefits

Comp & perks

Medical, dental, and vision benefits
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
Award-winning total rewards package