Senior AI Engineer

• You will be building, optimizing, and deploying state-of-the-art agentic AI/ML models and systems within the Verizon Consumer Group (VCG) AI team
• Applying hands-on technical expertise, you will be implementing next-generation customer success, sales, and digital agent solutions that directly impact how millions of customers interact with Verizon
• Working as part of a high-performing squad, you will turn architectural designs into production-grade code while ensuring reliability, performance, and scale
• Developing, testing, and scaling agentic AI/ML solutions, specialized workflows, and LLM-powered systems for VCG platforms
• Integrating AI agent frameworks with existing customer success, digital, and retail channel technologies
• Collaborating with product managers and GTS 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

• Bachelor's degree or four or more years of work experience
• Four or more years of relevant experience required, demonstrated through work experience and/or military experience
• One or more years of hands-on experience building and tuning AI/ML models or integrating LLM applications
• Experience with software development methodologies (e.g., Agile)
• Willingness to travel up to approximately 25% of the time
• a degree in Computer Science, Engineering, or a related field
• Knowledge of standard AI/ML tooling, orchestration frameworks (e.g., Lang Chain, Auto Gen), and software engineering best practices
• Knowledge of systems and tools like ACSS, Optix, POS, CTI, Work Hub, 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
• Strong organizational and prioritization skills and the ability to thrive in a dynamic environment, meet deadlines, and simultaneously work on multiple projects

Demonstrates expertise in building and optimizing AI/ML models and systems, with a strong focus on integrating LLM applications and ensuring high-performance outcomes. Proficient in collaborating with cross-functional teams to implement technical roadmaps and enhance customer success solutions.

• AI/ML Model Development
• LLM Application Integration
• Cloud Platforms (GCP, AWS, Azure)
• API Design and Development
• Agile Software Development Methodologies

• AI/ML Model Tuning
• Technical Research
• Data Integration
• Performance Optimization
• Software Engineering Best Practices

• Strong Organizational Skills
• Prioritization Skills
• Ability to Thrive in Dynamic Environments

• Customer Success Solutions
• Digital Agent Solutions
• AI Integrations
• Engineering Code Reviews
• Technical Design Sessions

• Lang Chain
• Auto Gen
• ACSS
• Optix
• POS
• CTI
• Work Hub
• Performance Management Tools
• Verint