Currently tracking 10 active AI roles, down 91% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Verizon currently has 20 active AI-related roles in our index. The most common open titles are: Principal Data Scientist (2), Sr Engr Cslt-Data Science (2), AI Go To Market Leader, Assoc Dir-AI Science, Assoc Dir-Tech Product Mgt. Most positions are in Engineering and Product.
Verizon's active AI hiring is concentrated in: agents (70%), application (15%), data (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 (11 roles), United States (9 roles).
Job postings at Verizon most frequently reference: agent orchestration, llm observability, model serving, rag, tool use.
In the past 30 days, Verizon has posted 30 new AI-related roles. That is a +275% change versus the prior 30 days (8 → 30).
| Title | Stage | AI score |
|---|---|---|
| Director - AI/ML Engineering Director of AI/ML Engineering at Verizon, focusing on leading teams to deploy and scale enterprise-level Generative AI applications and LLM-based solutions. The role involves industrializing AI services, managing compute and latency, establishing MLOps, ensuring ethical AI, designing GenAI platforms, implementing adaptive model routing, evaluating LLM frameworks, overseeing digital twins, and people leadership. The emphasis is on an AI-native approach to engineering and operations, shifting from traditional software development to agent-assisted development and AI-driven logic. | 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 |
| 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 |
| 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 |
| AI Go To Market Leader This role focuses on architecting and deploying Generative AI solutions, specifically agentic workflows and RAG systems, to enhance the Go-To-Market (GTM) engine. The individual will lead a team to build AI-native tools, optimize system performance, and evangelize AI usage within the revenue and GTM teams, leveraging AWS services and Python for development. | Agent | 7 |