- 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
Requirements
- 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., LangChain, AutoGen), and software engineering best practices
- Knowledge of systems and tools like 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
- Strong organizational and prioritization skills and the ability to thrive in a dynamic environment, meet deadlines, and simultaneously work on multiple projects
Core Competencies
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.
Highest-signal resume keywords
- AI/ML Model Development
- LLM Application Integration
- Cloud Platforms (GCP, AWS, Azure)
- API Design and Development
- Agile Software Development Methodologies
ATS Optimization Keywords
Hard Skills
- AI/ML Model Tuning
- Technical Research
- Data Integration
- Performance Optimization
- Software Engineering Best Practices
Soft Skills
- Strong Organizational Skills
- Prioritization Skills
- Ability to Thrive in Dynamic Environments
Industry Keywords
- Customer Success Solutions
- Digital Agent Solutions
- AI Integrations
- Engineering Code Reviews
- Technical Design Sessions
Tools & Technologies
- LangChain
- AutoGen
- ACSS
- Optix
- POS
- CTI
- WorkHub
- Performance Management Tools
- Verint