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...
As an Engineer I - Systems Engineering (Generative AI & Agentic Systems), , you will work at the forefront of enterprise AI—building autonomous agentic frameworks, graph-driven retrieval pipelines, microservices, and edge voice-activation features for critical operational tools. You will be instrumental in deploying intelligent agents that power real-time decision engines (Next Best Action) for our field operations and support teams.
You will be responsible for the following but not limited to:
Engineering Agentic Systems: Architecting, building, and maintaining stateful, multi-agent AI workflows using LangGraph and LangChain to automate complex decision-making processes.
Building Graph & Data Pipelines: Designing and optimizing data architectures linking Graph Databases (Neo4j) with search and caching layers, using Pandas for data wrangling, feature engineering, and processing unstructured datasets.
Developing APIs & Voice AI Features: Building robust backend services and APIs using Node.js and Python to integrate edge-compatible voice wake-up word features and speech processing into mobile applications for field technicians.
Building & Optimizing ML Models: Leveraging PyTorch and TensorFlow to build, fine-tune, and evaluate machine learning models for natural language processing and decision flows.
Managing CI/CD & MLOps: Automate build and deployment pipelines using Jenkins alongside Docker containerization to deploy scalable microservices.
Delivering Enterprise Solutions: Write production-grade code, participate in code reviews, and collaborate with team members to turn prototype AI models into reliable, production-grade applications.
What we’re looking for...
We are seeking a hands-on engineer who brings a strong technical foundation in AI/ML, practical experience with modern GenAI frameworks, and a desire for long-term career growth in our local community.
You’ll need to have:
Bachelor’s degree or one or more years of relevant experience required, demonstrated through work experience and/or military experience.
Experience in software engineering, systems engineering with AI/ML development.
Even better if you have one or more of the following:
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
Programming & Backend : Proficiency in Python and Node.js for backend development and API integration.
Exposure to voice recognition, keyword spotting (KWS), or voice wake-up word detection systems.
Familiarity with vector search engines (Elasticsearch) and caching layers (Redis).
GenAI & ML Frameworks: Practical experience building multi-agent AI systems with LangChain and LangGraph
Data & Databases: Hands-on experience with Graph Databases (Neo4j) and data manipulation libraries like Pandas.
DevOps & Automation: Experience managing CI/CD automation using Jenkins, containerizing applications with Docker, and using Git for version control.
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
Benefits and CompensationOur benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. 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.Skills Required
- Bachelor's degree or one or more years of relevant experience
- Experience in software engineering or systems engineering with AI/ML development
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related technical field
- Proficiency in Python
- Proficiency in Node.js
- Exposure to voice recognition, keyword spotting (KWS), or wake-up word detection systems
- Familiarity with Elasticsearch
- Familiarity with Redis
- Practical experience building multi-agent AI systems with LangChain and LangGraph
- Hands-on experience with Graph Databases (Neo4j)
- Experience with data manipulation libraries like Pandas
- Experience with PyTorch
- Experience with TensorFlow
- Experience managing CI/CD automation using Jenkins
- Experience containerizing applications with Docker
- Experience using Git for version control
Verizon Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Verizon and has not been reviewed or approved by Verizon.
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Fair & Transparent Compensation — Fairness and competitiveness of pay are highlighted through statements such as “pay is good,” “pays very well,” and “the compensation at VZ is very competitive.” High earning potential is also described for certain roles, including base pay plus commissions and bonuses.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive, spanning medical, dental, and vision with before-tax contributions and preventive-care credits. Increased HSA contributions and multiple plan options further reinforce the perceived strength of health benefits.
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Retirement Support — Retirement offerings are positioned as robust, including a strong 401(k) match, pension eligibility for some groups, and additional financial protections like life and long-term disability coverage. Union contract updates also point to pension increases and retirement security improvements.
Verizon Insights
What We Do
Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We're a diverse network of people driven by our shared ambition to move the world forward - collectively building the network America relies on most. Here, we have the ability to learn and grow at the speed of technology, the space to create within every role, and the opportunity to shape a rewarding career.
Why Work With Us
Integrity. Respect. Excellence. Accountability. These are some of the key values at the heart of our Credo. This code of conduct lays out how we show up as a responsible business every day. It is the blueprint that inspires us to live up to the highest standards and defines who we are and how we work.
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