AI Engineer - Go To Market

Verizon•Temple Terrace, FL

16h•Hybrid

About The Position

The AI Engineer will design, deploy, and optimize generative AI solutions that reduce friction in Verizon’s Go-To-Market (GTM) engine. The role builds agentic workflows and retrieval-augmented generation (RAG) systems using foundation models to create AI-native tools for sales and marketing teams. The engineer will develop LLM-powered features and autonomous agents, connect proprietary GTM information to language models, prototype solutions for lead enrichment and personalized outreach, and integrate AI workflows into sales platforms. The position also involves developing production-grade AI orchestration infrastructure, including prompt management, low-latency streaming APIs, and model evaluation frameworks. Rapid prototyping is emphasized, using AI coding and agent-building tools to deliver full-stack MVPs quickly.

Requirements

Bachelor’s degree or four or more years of work experience.
Six or more years of relevant experience, demonstrated through work experience, military experience, specialized training, or a combination.
Strong proficiency in Python and/or TypeScript and experience building web services or integrating complex APIs, especially CRM, VoIP, or sales engagement platforms.
Solid understanding of the LLM stack and experience with orchestration frameworks such as LangChain/LangGraph, Strands Agents, or CrewAI.
Knowledge of prompt engineering, few-shot learning, and the differences between fine-tuning and RAG.
Experience with standard software development tools such as Git and Docker, and CI/CD processes.
Product-oriented, revenue-focused mindset and ability to understand BDR workflows and design AI outputs that are actionable during live calls.
Proactive approach, rapid iteration skills, and ability to manage non-deterministic AI outputs in high-stakes, real-time environments.

Nice To Haves

Domain expertise in Go-To-Market, RevOps, or sales technology stacks such as Salesforce, HubSpot, Gong, Apollo, or Clearbit.
Experience building real-time audio or speech-to-text processing pipelines, such as with WebRTC, Deepgram, or Whisper.
Comfort working with code produced by others and using AI to generate and refine code.
Contributions to open-source AI projects or a portfolio of prototypes built with an AI-native toolchain.
Exposure to cloud-based AI services such as AWS Bedrock, Azure AI Studio, or GCP Vertex AI.
Experience with vector databases and semantic search concepts.
Experience with AI evaluation and observability tools.
Knowledge of agentic design patterns.

Responsibilities

Build and refine LLM-powered features and autonomous agents to enhance revenue capabilities.
Design and implement RAG pipelines connecting proprietary data, such as playbooks, product documentation, and successful call transcripts, with large language models.
Identify Go-To-Market friction points and rapidly prototype AI solutions for lead enrichment, personalized outreach, and CRM automation.
Integrate AI workflows into sales platforms such as Salesforce and Gong to support adoption by sales representatives.
Develop and maintain production-grade AI orchestration infrastructure, including prompt management, low-latency streaming APIs, and model evaluation frameworks.
Use AI-native coding and agent-building tools to rapidly prototype and deploy full-stack MVPs.

Benefits

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 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
Vacation: newly hired employees receive up to 15 days per year, increasing with additional service
Potential premium pay, such as overtime, shift differential, holiday pay, or allowances