When you join Verizon
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 a Senior Engineer Consultant in AI Science, you will be a technical expert and hands-on developer responsible for building, deploying, and managing end-to-end AI services to power next-generation generative and Agentic AI use cases for network autonomy. You will play a crucial role in delivering the core Autonomous Networks framework, which transforms network operations from reactive queues into a continuous, 24/7 autonomous workforce. This role requires expertise in designing and optimizing large-scale AI/ML solutions, focusing on the technical components that detect, aggregate, synthesize, investigate, and recommend actionable strategies across the global network.
What We're Looking For…
- Design, develop, and optimize Artificial Intelligence, SLM/LLM solutions to diverse real-world problems and implement cutting-edge generative artificial intelligence models and systems.
- Implement and analyze the performance of advanced algorithms, including those from deep learning and generative AI.
- Apply expertise to the five layers of autonomous agents, developing models for continuous monitoring, impact aggregation, contextual event clustering, and evidence-based root cause hypothesis generation.
- Design and implement robust AI/ML pipelines for efficient model training, deployment, and real-time monitoring.
- Contribute to developing robust and scalable distributed computing systems for large-scale data processing.
- Utilize advanced Prompt and Context engineering and optimization techniques to enhance SLM/LLM modeling.
- Communicate complex model designs and outcomes in business terms to non-technical audiences.
- Stay current with the latest advancements in generative AI and deep learning, contributing to research and development of novel models.
You'll Need To Have
- Bachelor’s degree in Computer Science, Data Science, or a related field or four or more years of work experience.
- Four or more years of relevant work experience.
- Five or more years as a data scientist with exposure to full-stack model development, deployment, evaluation, optimization, and scaling.
- Strong hands-on experience working with GCP, BigQuery/SQL, Python, and Spark.
- Understanding of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
- Must have AI Hygiene with Model/Agents inferencing, tracing and serving tools and techniques.
- Experience with modeling techniques including Statistics (Hypothesis testing, Regression), Machine Learning (Classification, Clustering), and AI Algorithms (GenAI/NLP, Deep Learning).
- Ability to explain both the code and the underlying math used in algorithms/models.
Even better if you have one or more of the following:
- Prior experience with telecommunications industry data, 4G/5G technologies, or network automation use cases.
- Familiarity with specific Agentic AI frameworks (e.g., LangChain, LangGraph) and evaluation frameworks (e.g., Galileo, Deepevals).
- Practiced building Mixture of Experts Models, Agents, Skills and tools.
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.
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.
