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.
We are seeking an experienced and highly motivated Principal Engineer to lead the architecture and design our AI/ML practice, particularly focused on cognitive and agentic systems. In this role, you will spearhead the development and implementation of cutting-edge solutions, leveraging your deep expertise to drive innovation and establish industry best practices.
Key Responsibilities:
- Design, develop, and deploy end-to-end AI solutions, including data pipelines, model training, deployment, monitoring, and optimization.
- Develop technical high level and low level architecture for generative and agentic systems
- Lead and mentor a high performing team of data scientists and AI/ML engineers, fostering a culture of collaboration and innovation.
- Stay abreast of the latest advancements and trends in Generative/Agentic AI, continuously evaluating and integrating emerging technologies.
- Collaborate closely with cross-functional teams, including product, engineering, and business stakeholders, to translate business requirements into innovative AI/ML solutions.
- Champion the adoption of AI/ML best practices, ensuring the development and deployment of secure, reliable, and ethical AI systems.
What we're looking for:
You'll need to have
- Bachelors degree or six or more years of work experience.
- Twelve or more years of experience in architecting, designing, and implementing large-scale AI/ML systems in a production environment, including implementation of large-scale NLP Projects and Fine tuning & Evaluation of LLMs for downstream tasks such as text generation, Classification, summarization, question answering, entity extraction etc.
- Proven track record of designing, developing and deploying agentic solutions at scale with measurable results mapped to business goals
- Ability to represent the team in leadership forums, and elevate the AI practice by creating next gen solutions and evangelizing best practices
- Ability to guide the team to correctly analyze cognitive insights and leverage unstructured conversational data to create transformative, intelligent, context aware and adaptive AI systems
- Experience in Machine Learning, Deep Learning model development & deployment from scratch in Python.
- Working knowledge of NLP frameworks and libraries like NLTK, Spacy, Transformers, Pytorch, Tensorflow, hugging face api’s.
- Working knowledge of various supervised and unsupervised ML algorithms . Should know the various data preprocessing techniques and its impact on algorithm's accuracy, precision and recall.
- Knowledge & Implementation Experience of Deep Learning i.e Convolutional Neural Nets (CNN), Recursive Neural Nets (RNN) & Long Short Term Memory (LSTM), Generative Adversarial Networks (GAN), Deep Reinforcement Learning.
- Experience with RESTful, JSON API services.
- Working knowledge on these: Word embeddings, TF-IDF, Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context.
- Experience in analyzing Live Chat/call conversation with agents.
- Expertise in Python, Sql, PySpark, Scala and/or other languages and tools.
- Understanding of validation framework for generative model output and perspective on future ready systems to scale validation
- Familiarity with GPU/CPU architecture and distributed computing and general infra needs to scale Gen AI models
- Ability to provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices.
- Excellent communication, interpersonal, and presentation skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
- Experience with MLOps tools and best practices.
- Contributions to open-source AI/ML projects.
- Familiarity with telecommunications industry data and use cases.
Even better if you have:
- Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Where you’ll be workingIn 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 Hours40Equal Employment Opportunity
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.
Skills Required
- Bachelor's degree or six or more years of work experience
- Twelve or more years architecting, designing, and implementing large-scale AI/ML systems in production
- Experience with large-scale NLP projects and fine-tuning and evaluating LLMs
- Experience designing, developing, and deploying agentic solutions at scale
- Experience developing and deploying machine learning and deep learning models from scratch in Python
- Working knowledge of NLP frameworks including NLTK, spaCy, Transformers, PyTorch, TensorFlow, and Hugging Face APIs
- Knowledge of supervised and unsupervised machine learning algorithms and data preprocessing techniques
- Implementation experience with CNNs, RNNs, LSTMs, GANs, and deep reinforcement learning
- Experience with RESTful and JSON API services
- Knowledge of NLP concepts including word embeddings, TF-IDF, tokenization, n-grams, stemming, lemmatization, part-of-speech tagging, entity resolution, ontology, intents, entities, and context
- Experience analyzing live chat and call conversations with agents
- Expertise in Python, SQL, PySpark, Scala, or other relevant languages and tools
- Experience with generative model output validation frameworks
- Familiarity with GPU/CPU architecture, distributed computing, and infrastructure for scaling generative AI models
- Experience with MLOps tools and best practices
- Excellent communication, interpersonal, and presentation skills
- Contributions to open-source AI/ML projects
- Familiarity with telecommunications industry data and use cases
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Verizon Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Verizon and has not been reviewed or approved by Verizon.
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Fair & Transparent Compensation — Fairness and competitiveness of pay are highlighted through statements such as “pay is good,” “pays very well,” and “the compensation at VZ is very competitive.” High earning potential is also described for certain roles, including base pay plus commissions and bonuses.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive, spanning medical, dental, and vision with before-tax contributions and preventive-care credits. Increased HSA contributions and multiple plan options further reinforce the perceived strength of health benefits.
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Retirement Support — Retirement offerings are positioned as robust, including a strong 401(k) match, pension eligibility for some groups, and additional financial protections like life and long-term disability coverage. Union contract updates also point to pension increases and retirement security improvements.
Verizon Insights
What We Do
Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We're a diverse network of people driven by our shared ambition to move the world forward - collectively building the network America relies on most. Here, we have the ability to learn and grow at the speed of technology, the space to create within every role, and the opportunity to shape a rewarding career.
Why Work With Us
Integrity. Respect. Excellence. Accountability. These are some of the key values at the heart of our Credo. This code of conduct lays out how we show up as a responsible business every day. It is the blueprint that inspires us to live up to the highest standards and defines who we are and how we work.
