Principal AI Engineer

Verizon•Basking Ridge, NJ

19h•$120,500 - $231,000•Hybrid

About The Position

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. What you’ll be doing... You will lead the technical vision, architectural design, and execution of cutting-edge agentic AI/ML solutions within the Verizon Consumer Group (VCG) AI team. By shaping the future of customer experience, you will build intelligent, autonomous agents that power our digital channels, sales, and customer success ecosystems. Partnering with cross-functional leadership, you will translate long-term strategy into robust, scalable, and secure production systems. Driving the technical strategy, research, and application of advanced agentic AI, large language models (LLMs), and cognitive frameworks to solve complex consumer challenges. Designing and implementing production-grade, highly scalable AI/ML pipelines and agent architectures that integrate seamlessly with digital and customer success platforms. Collaborating with Global Technology Architecture, Security, and Legal teams to ensure all agentic systems conform to the highest standards of data privacy, compliance, and engineering rigor. Partnering with Customer Service Operations and VCG Strategy teams to identify high-impact business applications and translate them into robust technical designs. Developing and maintaining a three-to-five-year technical roadmap for agentic systems across VCG, outlining the future state of the technology stack. Mentoring engineers, establishing engineering best practices, and introducing red-teaming methodologies to stress-test system capabilities and safety boundaries. Translating complex technical concepts, system architectures, and AI breakthroughs into clear and compelling narratives for executive presentations.

Requirements

Bachelor’s degree or four or more years of work experience.
Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
Three or more years of experience designing, building, and deploying production AI/ML systems at scale.
Experience with software development methodologies (e.g., Agile).
Willingness to travel up to approximately 25% of the time.

Nice To Haves

A Master's degree or PhD in Computer Science, Data Science, or a related quantitative field.
Knowledge of modern LLM application frameworks (e.g., LangChain, LlamaIndex), agentic architectures, and vector databases.
Knowledge of systems and tools, including ACSS, Optix, POS, CTI, WorkHub, performance management tools, existing AI integrations, and Verint.
Experience with API design and development.
Experience with cloud platforms (e.g., GCP, AWS, Azure) and cloud-native technologies.
Proven ability to lead technical planning, prioritization, and large-scale projects.
Strong organizational skills and the ability to thrive in a dynamic environment, meet deadlines, and manage multiple projects simultaneously.

Responsibilities

Lead the technical vision, architectural design, and execution of cutting-edge agentic AI/ML solutions within the Verizon Consumer Group (VCG) AI team.
Build intelligent, autonomous agents that power our digital channels, sales, and customer success ecosystems.
Translate long-term strategy into robust, scalable, and secure production systems.
Drive the technical strategy, research, and application of advanced agentic AI, large language models (LLMs), and cognitive frameworks to solve complex consumer challenges.
Design and implement production-grade, highly scalable AI/ML pipelines and agent architectures that integrate seamlessly with digital and customer success platforms.
Collaborate with Global Technology Architecture, Security, and Legal teams to ensure all agentic systems conform to the highest standards of data privacy, compliance, and engineering rigor.
Partner with Customer Service Operations and VCG Strategy teams to identify high-impact business applications and translate them into robust technical designs.
Develop and maintain a three-to-five-year technical roadmap for agentic systems across VCG, outlining the future state of the technology stack.
Mentor engineers, establish engineering best practices, and introduce red-teaming methodologies to stress-test system capabilities and safety boundaries.
Translate complex technical concepts, system architectures, and AI breakthroughs into clear and compelling narratives for executive presentations.