Engr III Cslt-AI Science

• Lead the full-stack development of next-generation AI applications, ensuring seamless integration between complex AI models (LLMs, predictive models) and modern web interfaces.

• 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

• Operate as an expert and thought leader in both Full Stack Engineering and AI/MLOps, establishing best practices for the CI/CD of machine learning applications.

• 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 modern 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.