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 will be doing

Architect and Develop End-to-End AI Applications- Design and deploy scalable APIs and microservices to serve machine learning models using modern frameworks (e.g., FastAPI, Node.js, GraphQL).

- Develop intuitive, responsive front-end interfaces (React, Next.js, Vue) that allow users to interact with AI models effectively.
- Implement robust backend architectures incorporating traditional and modern databases (PostgreSQL, MongoDB, and Vector Databases like Pinecone or Milvus for RAG architectures).
- Test and validate AI methods, ensuring privacy, ethical modeling practices, and bias-free implementations.

Technical Thought Leadership & DevOps- Serve as a trusted architectural advisor to all stakeholders at Verizon.

- Coach and mentor high-potential talent across both data science and software engineering disciplines.
- Champion infrastructure-as-code and containerization (Docker, Kubernetes) for reliable model deployment across on-premise, cloud, and edge environments.

Elevate the AI Practice

- Partner with academia and the startup ecosystem to identify new AI approaches (e.g., Agentic AI, advanced GenAI workflows) and contemporary software tools that deliver value to Verizon.
- Stay informed on the latest advancements in the AI and web technology space,



customizing these tools to solve our specific business problems.
- Help create an environment where engineers and scientists share pioneering work via open source, publications, and internal libraries.
- Support governance routines, ensuring adherence to model management policies, code peer reviews, and compliance with privacy and security standards.

What we are looking for

You will need to have:

- Bachelor’s degree or four or more years of work experience.
- Experience independently developing algorithms, writing production-grade code, and deploying complex software/AI solutions to production.- Full Stack Development: Expertise in modern backend languages and frameworks (Python/FastAPI, Node.js, Go).Strong proficiency in modern frontend frameworks (React, Next.js, TypeScript/JavaScript, TailwindCSS).
- AI/ML & Data Engineering: Deep understanding of underlying math/algorithms combined with expertise in ML frameworks (PyTorch, TensorFlow) and ML libraries (Scikit-learn, Hugging Face).Hands-on experience with modern AI stacks (LangChain, LlamaIndex, OpenAI APIs) and Vector Databases.
- Infrastructure & Data: Experience with building and maintaining streaming and batch data pipelines (Kafka, Spark) in production.Strong knowledge of cloud platforms (AWS, GCP) and container orchestration (Docker, Kubernetes).
- Core Competencies: Exposure to advanced data structures, data modeling, and modern software architecture patterns.

Even Better if you have:

- Excellent cross-functional collaboration and communication skills, with the ability to explain complex code and math to non-technical stakeholders.
- Outstanding analytical and problem-solving skills.

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.

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