Verizon
Telecom · Telecom
- HQ
- New York City, US
- Founded
- 2000
- Size
- 130,000+
- Website
- verizon.com
Currently tracking 10 active AI roles, down 78% versus the prior 4 weeks. Primary focus: Agent · Engineering.
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), Assoc Dir-AI Science. Most positions are in Engineering and Product.
Verizon's active AI hiring is concentrated in: agents (62%), application (14%), serving infrastructure (14%). 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 15 new AI-related roles. That is a -44% change versus the prior 30 days (27 → 15).
Telecom · Telecom
| Title | Stage | AI score |
|---|---|---|
| Princ Engr-AI Science Principal Engineer AI Science role focused on designing, building, and scaling next-generation Agentic AI solutions for autonomous network operations. The role involves technical leadership in developing the core 'AI brain' framework for autonomous agents, covering detection, aggregation, synthesis, investigation, and recommendation. Key responsibilities include architecting complex agents, driving agentic workflow orchestration, optimizing LLM components (Prompt Engineering, Fine-tuning, RAG), designing RAG systems, defining experimental protocols, and providing technical validation for AI governance. | Agent | 9 |
| Dist Engr-AI/ML Engineering This role focuses on architecting and building Verizon's Agentic AI ecosystem, including multi-agent frameworks, orchestration layers, and integrating LLMs and tool-use patterns. It involves evaluating AI agent frameworks, building guardrails and observability, and deploying large-scale AI systems in production. The role requires deep understanding of LLM architecture, RAG, and tool-calling, with a strong emphasis on Python and modern ML/AI stacks. | Agent | 9 |
| Engr III Cslt-AI Science Full Stack AI Engineer role at Verizon focused on architecting, developing, and deploying end-to-end AI-powered commercial applications, including generative AI, predictive, prescriptive, and adaptive applications. The role involves integrating AI models with user interfaces, designing scalable APIs, implementing backend architectures with databases and vector databases for RAG, and establishing MLOps best practices. It requires strong full-stack development skills, AI/ML expertise, and cloud/containerization experience, aiming to industrialize AI capabilities across the company. | AgentServe | 8 |
| Princ Engr-AI Science Principal Engineer focused on architecting, developing, and deploying end-to-end, AI-powered commercial applications. This role involves integrating AI models (LLMs, predictive) into full-stack applications, from UI to backend and infrastructure, with a focus on scalability and MLOps best practices. The goal is to industrialize AI capabilities across Verizon, impacting decisions and user experiences. | AgentServe | 8 |
| 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-Data Science Senior Engineer Consultant (Data Science) at Verizon, focusing on modernizing telecom financial operations by designing, developing, and deploying advanced AI/ML, Generative AI, and Agentic AI solutions. The role involves owning the end-to-end lifecycle of AI models, automating financial workflows, and translating complex technical results into business insights for finance leadership. Requires strong Python, SQL, cloud platform experience (GCP), and LLM/AI tool familiarity. | AgentServe | 8 |
| Senior Data Scientist Senior AI Scientist role focused on designing, building, and deploying agentic AI solutions, LLMs, and machine learning models for customer experience, offer personalization, and query automation. Responsibilities include developing predictive models, overseeing the end-to-end lifecycle, collaborating with engineering teams for production deployment, and providing technical guidance. Requires experience with AI agents, LLMs, RAG, Google ADK, LangGraph, Python, SQL, PyTorch, Scikit-Learn, and cloud platforms. | Agent | 8 |
| Principal Data Scientist Principal Data Scientist to drive growth and innovation by applying ML and AI. Will architect agentic AI solutions, develop predictive models, and oversee end-to-end development and operational lifecycle. Requires experience with LLMs, RAG, LangChain, LangGraph, Python, SQL, and ML/DL algorithms. | Agent | 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 |
| Sr Engr Cslt-AI Science Senior Engineer Consultant in AI Science responsible for building, deploying, and managing end-to-end AI services for generative and Agentic AI use cases in network autonomy. Focuses on designing and optimizing large-scale AI/ML solutions for autonomous networks, including agentic systems, AI/ML pipelines, and distributed computing. Requires expertise in GCP, BigQuery/SQL, Python, Spark, containerization, orchestration, CI/CD, and AI Hygiene with model/agent inferencing and serving tools. | AgentServe | 8 |
| Associate Director-AI Science Associate Director of AI Science at Verizon, leading a data science team to develop data-driven solutions and insights for network-related problems. The role involves applying advanced data science techniques, building predictive and prescriptive models, and developing network models and data products to contribute to a self-optimizing and healing network. Key responsibilities include data mining, ensuring data quality, exploratory data analysis, identifying OKRs and KPIs, and translating complex findings for stakeholders. | Serve | 7 |
| Associate Director of AI Product Development Associate Director of AI Product Development at Verizon, responsible for leading AI product initiatives, building and managing an AI team, and owning the innovation pipeline from prototyping to execution. The role involves developing the AI product technology roadmap, integrating next-generation AI into products, and representing the company's AI technology externally. | Ship | 7 |
| Associate Director Data Science Associate Director to lead Network Planning & Forecasting functions within the Network AI team. This role will govern foundational network capabilities driving CapEx strategy, lead a specialized engineering team to drive network coverage prediction, automate compliance reporting, execute network capacity forecasting, and accelerate AI-driven anomaly detection and remediation. The role requires architectural oversight, product delivery management, and translating business strategy into technical direction. | AgentData | 7 |
| Assoc Dir-AI Science Associate Director leading a team focused on driving business value through AI capabilities, including predictive, prescriptive, and adaptive applications. The role involves building and managing the team, defining strategy, establishing best practices, and delivering AI products in production environments across on-premise, cloud, and edge deployments. | Ship | 7 |
| Principal Data Scientist Principal Data Scientist role focused on architecting AI-driven decision systems using LLMs and RAG for supply chain optimization and strategic insights. Leverages advanced modeling and analytics to solve complex business operations problems and influence executive strategy. | Agent | 7 |
| Associate Director, Data Science Associate Director of Modeling & Decision Intelligence leading an advanced analytics team to partner with Global Supply Chain, Sourcing, Global Real Estate, Global Network & Technology and Fleet organizations. The role focuses on moving operations from manual, reactive decision-making to a proactive, autonomous ecosystem by generating hypotheses and creating analytic models. Responsibilities include leading the design of data science products, leveraging the tech stack for complex problem resolutions, shaping the data strategy for P&L impact, developing precision engines, and bridging technical capability with business strategy. The role also involves team leadership, mentorship, staying at the frontier of AI/advanced analytics, and overseeing model lifecycle governance. | AgentData | 7 |
| Engr III Cslt-AI/ML Engrg This role focuses on developing and maintaining mission-critical applications and Agentic solutions within Verizon, enhancing customer experience. It involves the full SDLC, working with AI/ML technologies like Langchain and LangGraph, server-side technologies (Python, NodeJS/Java), databases (GCP Bigquery, Mem SQL, Postgres), and DevOps practices (CI/CD, Docker, Kubernetes). The role also includes mentoring junior developers. | Agent | 7 |