Principal AI Engineer

About the role

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.

Responsibilities

• Developing, testing, and scaling agentic AI/ML solutions, specialized workflows, and LLM-powered systems for Verizon Consumer Group platforms.
• Integrating AI agent frameworks with existing customer success, digital, and retail channel technologies.
• Collaborating with product managers and engineering teams to implement and iterate on production-grade technical roadmaps.
• Participating in engineering code reviews, technical design sessions, and red-teaming exercises to ensure safe and reliable model behaviors.
• Optimizing model inference pipelines, API endpoints, and data integration layers to meet high-performance consumer demands.
• Assisting in technical research and rapid prototyping to quickly evaluate and implement emerging open-source and proprietary AI frameworks.
• Contributing to the documentation of technical specifications and creating materials to showcase pilot performance results.

Requirements

• Bachelor’s degree or four or more years of work experience.
• Six or more years of relevant experience required, demonstrated through work and/or military experience, or specialized training.
• One or more years of hands-on experience building, tuning, or integrating AI/ML models and LLM applications.
• Experience within Agile software development methodologies.
• A degree in Computer Science, Engineering or related field (preferred).
• Experience developing end-to-end AI agents and RAG architectures using orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, Google ADK) (preferred).
• Hands-on experience with cloud-native technologies, API design, and Google Cloud Platform (GCP) (preferred).
• Familiarity with enterprise AI integrations and performance management platforms (e.g., Verint) (preferred).
• Strong prioritization skills with a track record of managing multiple projects in fast-paced environments (preferred).

Benefits

• Medical, dental, vision
• Short and long term disability
• Basic life insurance, supplemental life insurance, AD&D insurance
• Identity theft protection
• Pet insurance
• Group home & auto insurance
• Matched 401(k) savings plan
• Up to 8 company paid holidays per year
• Up to 6 personal days per year
• Paid parental leave, adoption assistance and tuition assistance
• Other incentives (award‑winning total rewards package)
• Newly hired employees receive up to 15 days of vacation per year, which grows with additional service.

Pay

The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00. This is an incentive based position with the potential to earn more. For part‑time roles, compensation will be adjusted to reflect hours.

Schedule

This is a hybrid role with a defined work location that includes working from home and a minimum of three days per week in the office,