Dist Engr-AI Science

Role overview

Dist Engr-AI Science at Verizon

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.

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.

Required 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

Employment details

• Location: Bangalore [India], Hyderabad [India], Chennai [India]

About the employer

• When you join Verizon

Additional role details

• 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.
• Verizon is an equal opportunity employer.
• We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.