Princ Engr-Ntwk Engring

Verizon•Worcester, MA

3d•$107,000 - $205,000•Hybrid

About The Position

The Global Technical Facilities Planning group is responsible for leading the strategic planning, development, and enhancement of Verizon Technical sites in support of network growth across next-generation architectures. We accomplish this by partnering closely with Network Equipment owners, Standards, Implementation, and Technology teams to develop, assess, and optimize PSC capacity loads while integrating Artificial Intelligence, machine learning automation, and intelligent bot-driven workflows that dramatically accelerate decision-making and reduce manual effort across our nationwide portfolio. As a Principal Engineer, you will be tasked with developing resolutions to complex problems that require the frequent use of creativity. Additionally, you will also be conducting analysis of situations or data requiring an in-depth evaluation of variable factors and exercising judgment in selecting methods, techniques and evaluation criteria for obtaining results. Providing mentoring to other team members on networking, application design, engineering and automation while acting as the final escalation point to support production service issues in concert with application, operational, and triage teams. Leading performance meetings with the vendor, planning and maintenance engineering and creating detailed project plans. Providing input on status calls with teams across several organizations. Finishing projects independently and meeting tight timelines without impacting critical services. Developing excellent working relationships with and working as a partner with other departments and vendors with the purpose developing best practices for engineering and operations.

Requirements

Bachelor's degree or four or more years of equivalent work experience.
Six or more years of relevant work experience (technical facilities planning, facility engineering, Network Systems or a related technical discipline), demonstrated through one or a combination of work and/or military experience, or specialized training.
Power, Space, and Cooling design and/or construction experience in a telecommunications or data center environment.
Experience with Python for data analysis, automation, and model development.
Hands-on experience integrating or building with LLM APIs (Anthropic Claude, OpenAI, or equivalent) including prompt engineering and tool/function calling.
Experience building automated workflows, bots, or scripts that replace or augment manual operational processes.
Experience collecting, analyzing, and presenting complex data; proficiency with SQL, Oracle, and SQL Server for data modeling, and visualization tools including Looker and Tableau.
Experience leading through influence in a cross-functional team environment across engineering, IT, and operations.
Experience in presentation and communication skills with a proven ability to influence and present to all levels of the organization.
Basic understanding of electrical systems, DC power design, and telecommunications network architecture.

Nice To Haves

Proficiency with agentic AI frameworks, with development experience in Python and deployment on AWS and Azure.
Experience with Retrieval-Augmented Generation (RAG), vector databases including PostgreSQL with pgvector, and semantic search.
Robotic Process Automation (RPA) experience using custom Python-based automation.
MLOps experience: deploying and monitoring ML models in production on AWS and Azure using Kubernetes for orchestration and Git/SVN for version control.
Experience with cloud platforms, specifically AWS and Azure, for hosting AI/ML workloads, APIs, and data pipelines.
REST API design and consumption; experience building internal tool backends using Python, Java, or JavaScript in UNIX-based environments.
AutoCAD experience for Central Office and technical facility space planning.
Familiarity with systems including 1PSC- UNO, NPP, dcTrack, DRAAS, AutoCAD, CCP, Canvas, Clarity, vSAP GUI, ERP-SAP Portal.
Electrical, Mechanical, or Civil Engineering degree.
Experience with Verizon network architecture.
Project Management certification (PMP, PgMP) or Agile/Scrum certification (CSM, SAFe).
Experience developing user stories, defining acceptance criteria, and participating in sprint ceremonies as a technical lead.
Proven track record of identifying and driving cross-functional cost, quality, and time improvement initiatives with measurable results.
Strong negotiation and written communication skills for influencing multiple technical and non-technical organizations.

Responsibilities

Develop, maintain, assess, and calculate PSC (Power, Space, and Cooling) capacity loads across a national portfolio of sites to promptly approve network gear installation.
Leverage 1-, 3-, and 5-year Power, Space, and Cooling capacity and utilization forecasts to model future facility exhaust, informing build and decommission plans aligned to the network roadmaps.
Plan and design short- and long-term equipment layouts of technical facilities based on Verizon Standards; produce AutoCAD space-planning deliverables for internal customers.
Manage DC power plants, generators, and HVAC systems; perform AC/DC electrical analysis including rectifiers, batteries, BDFBs/PDFs, and generator capacity calculations.
Participate market reviews and/or site visits to monitor implementation progress and ensure PSC compliance.
Identify, lead, and implement PSC solutions involving construction, modification, or decommissioning of equipment based on fiduciary and network priorities.
Partner with Technical Facilities Engineer and Implementation team on capacity solutions including construction design, scope, vendor management, bidding, permitting, and capital budget requests.
Maintain adequate build-ahead margins with close attention to technology transformation initiatives (e.g., iEN, OpenRAN, vRAN, edge compute).
Design, develop, and deploy AI-powered bots and automated agents that streamline PSC capacity workflows, data ingestion pipelines, and reporting cycles across UNIX-based environments.
Build and fine-tune large language model (LLM) integrations (e.g., Claude, GPT-4, Gemini) using prompt engineering, Retrieval-Augmented Generation (RAG), and function/tool-calling frameworks to automate analysis and generate leadership-ready readouts.
Develop agentic AI workflows using frameworks to orchestrate multi-step capacity planning tasks end-to-end with minimal human intervention.
Create Python-based automation scripts, ETL pipelines, and REST/GraphQL API integrations to pull data from COEP, 1ERP/NSAP/vSAP, dcTrack, Canvas, Clarity, and other network management systems into unified analytical models, leveraging SQL, PostgreSQL, Oracle, SQL Server, and Hadoop DFS for data storage and processing.
Engineer Robotic Process Automation (RPA) solutions to replace high-volume, repetitive manual tasks across PSC planning workflows.
Design and maintain vector databases and semantic search capabilities to enable intelligent retrieval of historical capacity data, site records, and engineering standards.
Develop and deploy chatbot interfaces (Teams, web-based) that allow non-technical stakeholders to query PSC capacity data using natural language.
Implement MLOps practices: model versioning, automated retraining pipelines, performance monitoring, and drift detection for predictive capacity models using AWS, Azure, and Kubernetes, with version control managed through Git/SVN.
Produce machine learning forecasting models (regression, time-series, ensemble methods) to predict power/cooling exhaust dates with quantified confidence intervals.
Partner with TIES teams to define AI/automation roadmaps, author technical user stories, and participate in Agile/Scrum ceremonies as a subject-matter expert.
Build interactive dashboards in Looker and Tableau, surfacing real-time PSC utilization, risk heat maps, and forecast accuracy KPIs.
Develop KPIs with planning and construction teams to deliver reporting on forecasting accuracy and capacity program health.
Prepare and deliver polished executive readouts to all audience levels, including senior and C-suite leadership, translating complex data into clear strategic narratives.
Partner with planning organizations and all relevant stakeholders to identify process improvement opportunities and cost-savings solutions.