Engineer II-AI/ML Engineering

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 V Team Life.

What you’ll be doing...

• Design and Implement Machine Learning Models: Develop and deploy applications and agents using state-of-the-art LLM technologies, tools and frameworks.

• Data Pipelines and Workflows: Design robust data pipelines for training and fine-tuning language models, and create intelligent automation workflows for software development and project management processes.

• Scalable Systems: Architect and implement scalable multi-agent systems using LLMs, ensuring high performance and reliability.

• Generative AI Applications: Scale Generative AI applications to handle large datasets and high user loads with optimized response times.

• Prompt Engineering: Develop and refine prompt strategies for effective LLM utilization.

• Pipeline Management: Set up and manage end-to-end pipelines involving vector databases, caching layers, and embedding systems.

• Collaboration and Innovation: Collaborate with cross-functional teams to drive innovation and contribute to the companys data strategy.

• Research and Development: Stay updated on the latest advancements in AI research and apply new findings to ongoing projects.

What we’re looking for...

You’ll need to have:

• Bachelor’s degree or one or more years of work experience.

• Technical Expertise: LLMs, RAG, Agentic Frameworks and fine tuning

• Strong background in Python, SQL, Linux/Unix shell scripting, NLP, PySpark, LLMs

• Proficiency in LLM solution patterns and tools (RAG, Graph, Vector DB, Agentic workflows, etc.).

• Experience with cloud platforms (AWS, GCP), machine learning services and DevOps tools.

• Familiarity with API frameworks (Fast API, Django).

• Expertise in Generative AI, including advanced RAG systems, prompt engineering and graph-based architectures.

• Strong understanding of LLM algorithms, and automation workflows.

• Experience with fine-tuning open-source models for production environments.

• Strong experience with LLM APIs (Open AI, Gemini, Phi3 etc), SDKs (Langchain/LangGraph, etc)

• Pre-process data sets for LLM training, design benchmark tasks and perform experiments , build unit tests and implement model monitoring

• Strong background in architecting reusable software components, frameworks, microservices, and APIs.

• Experience with CI/CD, AI/ML pipelines, and automation tools.

Even better if you have one or more of the following:

• Any Certification would be of added advantage

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.