AI Engineer - Go To Market

Verizon; Rolling Meadows (IL); Hybrid; USD 121,000 - 231,000; Full time

Benefits offered by this job

Health and wellness benefits

401(k) with company match

Paid holidays and personal days

Parental leave and tuition assistance

Award-winning total rewards package

Job summary

Verizon is seeking a seasoned AI systems engineer to design, deploy, and optimize Generative AI solutions that streamline GTM workflows within the sales and marketing stack. You will build agentic workflows and RAG systems using Foundation Models, shaping outputs that drive revenue and adoption.

You’ll implement production-grade AI orchestration, integrate with CRM platforms, and prototype rapidly with AI tooling to deliver full-stack MVPs in days. Hybrid role with 40 hours weekly.

Qualifications

• Bachelor's degree or four+ years of work experience.
• Six+ years of relevant experience in AI, data, or GTM domains.
• Strong proficiency in Python/TypeScript and building web services or integrating complex APIs.
• Solid understanding of the LLM stack and orchestration frameworks (LangChain/LangGraph, Strands Agents, CrewAI).
• Knowledge of AI concepts: Prompt Engineering, few-shot learning, and RAG.
• Experience with Git, Docker, and CI/CD processes.
• Product-oriented and revenue-focused mindset for live sales environments.

Responsibilities

• Design, deploy, and optimize Generative AI solutions that reduce GTM friction.
• Build agentic workflows and RAG systems to enable sales and marketing teams.
• Create and refine LLM-powered features and autonomous agents for revenue.
• Design RAG pipelines connecting proprietary data with large language models.
• Integrate AI workflows with Salesforce, Gong, and other CRM tools.
• Develop production-grade AI orchestration infrastructure and tooling.

Skills

Python

TypeScript

Web services

APIs integration

LangChain

LangGraph

Strands Agents

CrewAI

Git

Docker

CI/CD

Prompt Engineering

RAG

Go-To-Market knowledge

RevOps

Sales tech stacks

Gong

Salesforce

HubSpot

Agent Builder

Vector databases

AI evaluation

Agentic design patterns

Education

Bachelor's degree or four+ years of work experience

Tools

Git

Docker

CI/CD tools

Salesforce

Gong

Job description

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What You’ll Be Doing

You will be working to design, deploy, and optimize Generative AI solutions that eliminate friction in our Go-To-Market (GTM) engine. You will move beyond traditional data analytics and modeling to build agentic workflows and RAG (Retrieval-Augmented Generation) systems, applying the latest advancements in Foundation Models to create intuitive, AI-native tools that supercharge our sales and marketing teams.

Responsibilities Include

• Building and refining LLM-powered features and autonomous agents to enhance our revenue capabilities.
• Designing and implementing RAG pipelines to connect our proprietary data (e.g., playbooks, product documentation, past successful call transcripts) with large language models for high-accuracy, context-aware outputs.
• Exploring and eliminating other GTM friction points by rapid prototyping AI solutions for lead enrichment, personalized outreach, and CRM automation.
• Integrating AI workflows into the modern sales stack (e.g., Salesforce, Gong) to ensure seamless adoption by our sales reps.
• Developing and maintaining production-grade infrastructure for AI orchestration, including prompt management, low-latency streaming APIs, and model evaluation frameworks.
• Rapid "Vibe Coding" & Prototyping: Use tools like Claude Code, Codex, Lovable, LangSmith Agent Builder, to go from idea to deployed full-stack MVP in days, not weeks.

What We’re Looking For

You are a builder at heart with a "hacker" mindset and a passion for revenue operations. You are eager to bridge the gap between raw model capabilities and polished tools that actually help sales teams win. You are proactive, iterate quickly, and enjoy the challenge of "taming" non-deterministic AI outputs in high-stakes, real-time environments.

You’ll Need To Have

• Bachelor’s degree or four or more years of work experience.
• Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• Strong proficiency in Python/TypeScript and experience building web services or integrating complex APIs (especially CRM, VoIP, or sales engagement platforms).
• Solid understanding of the LLM stack, including experience with orchestration frameworks (e.g., LangChain/LangGraph, Strands Agents, CrewAI).
• Knowledge of modern AI concepts: Prompt Engineering, few-shot learning, and the difference between fine-tuning and RAG.
• Experience with standard software development tools (Git, Docker) and CI/CD processes.
• A product-oriented and revenue-focused mindset: the ability to deeply empathize with a BDR's workflow and design AI outputs that are instantly actionable during a live call.

Even better if you have one or more of the following

• Domain expertise in Go-To-Market, RevOps, or Sales tech stacks (Salesforce, Hubspot, Gong, Apollo, Clearbit).
• Experience building real-time audio/speech-to-text processing pipelines (e.g., WebRTC, Deepgram, Whisper) for live transcription and analysis.
• Fearless "Hacker" Mindset: You aren't afraid of code you didn't write. You are comfortable generating 80% of your code with AI and crafting the remaining 20% with high precision.
• Contributions to open-source AI projects or a portfolio of "weekend" prototypes built with an AI-native toolchain.
• Exposure to cloud-based AI services (e.g., 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.

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Benefits And Compensation

• From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance.
• We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package.
• Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc.
• Newly hired employees receive up to 15 days of vacation per year, which grows with additional service.
• For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.

The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00.

The annual salary range for the Illinois location(s) listed on this job requisition based on a full-time schedule is: $132,500.00 - $231,000.00.