Principal Engineer - AI/ML Engineering

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.

Responsibilities include:

• 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 GTS 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.

What we’re looking for…

You’ll need to have:

• Bachelor’s degree or four or more years of work experience.
• Six or more years of relevant experience required, demonstrated through work experience and/or military experience.
• Three or more years of experience designing, building, and deploying production AI/ML systems at scale.
• Experience with software development methodologies (e.g., Agile).

Even better if you have one or more of the following:

• A Master’s degree or PhD in Computer Science, Data Science, or a related quantitative field.
• Hands-on experience building production conversational AI with Python, Google ADK, LangGraph, LangChain, or comparable frameworks, including multi-agent orchestration, stateful workflows, and enterprise tool integration.
• Experience designing and developing asynchronous APIs and services using FastAPI and Pydantic, integrating enterprise REST, GraphQL, or SOAP services, and implementing Model Context Protocol (MCP) and agent-to-agent communication.
• Experience with retrieval-augmented generation (RAG), embeddings, Elasticsearch/vector search, and semantic routing, along with model gateways such as LiteLLM.
• Experience deploying and operating cloud-native AI applications on GCP, including Cloud Run, Cloud SQL, Cloud Storage, and BigQuery, using Docker and CI/CD pipelines.
• Knowledge of PostgreSQL and Redis for conversational state, persistence, and caching, with a focus on scalability, reliability, and performance.
• Experience developing automated AI evaluations and regression tests, including pytest, tool-call and conversation-trajectory validation, and LLM-as-judge evaluations.
• Experience with AI observability and production troubleshooting using OpenTelemetry, New Relic, Arize Phoenix, Galileo, or comparable tools, including monitoring quality, latency, and cost.
• Familiarity with enterprise customer-service platforms such as Pega, and Digital Hub, and experience integrating AI into retail, IVR, or anything similar billing, ordering, or retention workflows with appropriate authorization and transaction safeguards.
• Proven ability to lead technical architecture, planning, and prioritization; collaborate across engineering, product, and business teams; and deliver multiple large-scale initiatives in a dynamic, Agile environment.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

Where you’ll be working

Scheduled Weekly Hours

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Benefits and Compensation

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.