Dist Engr-AI Science

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. About the Role: We are seeking an experienced and highly motivated Distinguished Engineer to lead the architecture and design our AI/ML practice, particularly focused on agentic systems. In this role, you will spearhead the development and implementation of cutting-edge AI/ML solutions, leveraging your deep expertise to drive innovation and establish industry best practices. Key Responsibilities: Design, develop, and deploy end-to-end AI/ML 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. Qualifications: Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. At least 12+ 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. 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.