Engr III Spec-AI Science

When you join Verizon

Key Responsibilities

• Agentic AI & LLM Development
• Design, build, and deploy multi-agent systems and autonomous workflows using modern frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI).
• Develop robust LLM-based applications capable of reasoning, tool-use, and executing complex, multi-step tasks for dynamic customer interactions and internal automation.
• Implement guardrails, evaluation frameworks (LLM-as-a-judge), and prompt-engineering best practices to ensure safe, reliable, and compliant agent behavior in production.
• Predictive & Prescriptive Modeling
• Build state-of-the-art predictive models (deep learning, sequence models, tree-based models) for forecasting customer behavior, churn, propensity, and lifetime value (CLTV).
• Develop prescriptive optimization engines using Reinforcement Learning (RL), Contextual Bandits, or mathematical optimization to power real-time "Next Best Action" (NBA) and dynamic pricing recommendations.
• Apply causal inference and uplift modeling techniques to measure and optimize the true incremental impact of AI-driven interventions.
• Production Engineering & MLOps
• Collaborate with MLOps and Data Engineering teams to deploy machine learning and agentic models into highly scalable, low-latency production environments.
• Write production-grade, optimized code (Python) and build robust API endpoints for AI service integration.
• Design and maintain telemetry for monitoring model drift, agent hallucination rates, and overall system performance.
• Technical Leadership & Collaboration
• Lead the end-to-end technical execution of complex AI projects, from ideation and prototyping to production deployment.
• Mentor Engineer I and II team members, conduct rigorous code/model reviews, and foster a culture of continuous learning.
• Partner closely with Product Managers, Data Scientists, and Business Stakeholders to translate complex business requirements into scalable AI solutions.

Required Qualifications

• Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
• Experience: 5+ years of applied industry experience in machine learning, AI science, or data engineering (or 3+ years with a Ph.D.).
• Technical Skills: Advanced proficiency in Python and standard ML libraries (PyTorch, TensorFlow, Scikit-Learn, XGBoost/LightGBM).Hands-on experience building and deploying LLMs and Agentic AI (LangChain, OpenAI APIs, open-source models like Llama 3/Mistral, RAG architectures).Strong foundation in Predictive and Prescriptive ML methodologies (time-series, reinforcement learning, optimization algorithms).Solid SQL skills and experience with big data processing (Spark, Databricks, Snowflake).
• Engineering Best Practices: Experience with cloud computing platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines for ML.
• 5+ years of applied industry experience in machine learning, AI science, or data engineering (or 3+ years with a Ph.D.).
• Advanced proficiency in Python and standard ML libraries (PyTorch, TensorFlow, Scikit-Learn, XGBoost/LightGBM).Hands-on experience building and deploying LLMs and Agentic AI (LangChain, OpenAI APIs, open-source models like Llama 3/Mistral, RAG architectures).Strong foundation in Predictive and Prescriptive ML methodologies (time-series, reinforcement learning, optimization algorithms).Solid SQL skills and experience with big data processing (Spark, Databricks, Snowflake).

Preferred Qualifications

• Demonstrated experience building AI engines specifically for Base Management, Marketing Tech, or Customer Value Management (CVM).
• Experience with Causal Machine Learning (DoWhy, EconML).
• Active contributor to open-source AI projects or a portfolio demonstrating complex agentic workflow development.
• Where you’ll be working
• In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.
• Scheduled Weekly Hours
• 40
• Equal Employment Opportunity
• Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Where you’ll be working

Scheduled Weekly Hours

Equal Employment Opportunity