Princ Engr-Technology Strategy

Overview

Principal Engineer in the Technology Strategy & Planning team for the Enterprise Architecture team, managing programs that help GTS move toward its strategic objectives, with a focus on Generative AI and LLM solutions.

What you'll do

• Develop and maintain a technology roadmap aligned with the organization's strategic goals and evolving industry trends.
• Engage with Technology, Business stakeholders and Senior Leadership to drive product roadmap, define priorities and deliver products with best quality for high-scale use.
• Work closely with Architects and cross-functional teams to ensure overall architecture and design are aligned with industry best practices.
• Stay updated on emerging technologies, assess their relevance to the business, and propose innovative solutions.
• Evaluate and manage relationships with technology vendors and partners to ensure they support the organization's strategic objectives.
• Work closely with process experts to analyze and design solutions based on business requirements.
• Plan and build Engineering Excellence deliverables and ensure smooth, successful execution of initiatives by coordinating with cross-functional teams.
• Design end-to-end Generative AI solutions tailored to specific Verizon use cases.
• Develop scalable prototypes of LLM and NLP modules and systems critical to the company's product lines.
• Apply state-of-the-art LLM techniques to translate large amounts of unstructured data into meaningful, structured data.
• Identify new process opportunities and quickly assess feasibility.

What you'll need

• Minimum 10 years of experience in one or more of Data Science, LLM, Gen AI.
• Established experience delivering information management solutions to large numbers of end users.
• Development and testing of Generative AI solutions through both Agentic and non-Agentic AI.
• Deep understanding of frameworks such as LangGraph, AutoGen, LangSmith.
• Deep understanding of data preprocessing, prompt management, caching, validation, advanced RAG, RLHF and success measurement.
• Thorough understanding of LLMOps, data pipelines and other common services required to operationalize Generative AI use cases.
• Deep understanding of automation and AI technologies and their application in business operations.
• Strong independent and creative research skills to keep up with the latest trends in advanced analytics and Gen AI.
• Excellent written and verbal communication skills, able to explain technical details to a non-technical audience.
• Analytical, with the ability to quickly grasp challenging concepts.
• Comfortable in a fast-paced environment with tight deadlines, adapting to changing priorities and balancing multiple projects.

Nice to have

• Master's degree from an accredited college or university.
• Familiarity with Graph DB concepts.
• Familiarity with one or more data platforms such as Cloudera, Snowflake, Databricks.
• Experience in text processing, vector databases and embedding models.
• Research, recommend and implement best practices of LLM and NLP systems that can scale.

Details

• Hybrid role with a defined work location including work from home and assigned office days set by your manager.
• Scheduled weekly hours: 40.