Verizon
Telecom · Telecom
- HQ
- New York City, US
- Founded
- 2000
- Size
- 130,000+
- Website
- verizon.com
Currently tracking 10 active AI roles, down 89% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Telecom · Telecom
Verizon currently has 21 active AI-related roles in our index. The most common open titles are: Engr III Cslt-AI Science (2), Princ Engr-AI Science (2), Principal Data Scientist (2), Sr Engr Cslt-Data Science (2), AI Go To Market Leader. Most positions are in Engineering and Product.
Verizon's active AI hiring is concentrated in: agents (67%), application (14%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Verizon is hiring AI talent in: India (12 roles), United States (9 roles).
Job postings at Verizon most frequently reference: agent orchestration, rag, model serving, llm observability, fine tuning.
In the past 30 days, Verizon has posted 31 new AI-related roles. That is a +244% change versus the prior 30 days (9 → 31).
| Title | Stage | AI score |
|---|---|---|
| Engr III Cslt-AI Science This role focuses on building, deploying, and managing end-to-end AI services for traditional and generative AI use cases. The engineer will design and implement AI/ML solutions using Python, CI/CD, and public cloud platforms, contribute to scalable distributed computing systems, and analyze the performance of deep learning and generative AI algorithms. Key responsibilities include implementing AI/ML pipelines for training and deployment, collaborating with cross-functional teams, and working with model-serving runtimes and platforms. Experience with multi-modal data, vector/graph databases, and large-scale AI training is also required. | ServePost-train | 8 |
| Sr Engr Cslt-AI/ML Engineering Senior Engineer role focused on the ML Engineering Model Inferencing layer at the enterprise level, enhancing the experience for Data Scientists and ML Engineers. The role involves building, securing, and scaling predictive, generative, and agentic AI solutions, driving technical design and implementation of large-scale platforms, and leading deployment and maintenance of AI platforms and frameworks. It also includes building and managing Non-Functional KPIs and ensuring best practices in AI development, validation, testing, and deployment. |
| ServeAgent |
| 8 |