Verizon

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...

We are seeking a visionary and technically strong Senior AI Architect to join our Billing IT organization in driving innovation at the intersection of telecom billing, customer experience, and artificial intelligence. This leadership role will be pivotal in designing, developing, and scaling AI-led solutions that redefine how we bill our customers, improve their billing experience, and derive actionable insights from billing data.

You will work closely with cross-functional teams to lead initiatives that transform customer-facing systems, backend data platforms, and software development practices through modern AI technologies.

Key Responsibilities

• Customer Experience Innovation:
  • Designing and implementing AI-driven enhancements to improve telecom customer experience, particularly in the billing domain.
  • Leading end-to-end initiatives that personalize, simplify, and demystify billing interactions for customers.
• AI Tools and Platforms:
  • Evaluating and implementing cutting-edge AI/ML models, LLMs, SLMs, and AI-powered solutions for use across the billing ecosystem.
  • Developing prototypes and production-grade AI tools to solve real-world customer pain points.
• Prompt Engineering & Applied AI:
  • Exhibiting deep expertise in prompt engineering and advanced LLM usage to build conversational tools, intelligent agents, and self-service experiences for customers and support teams.
  • Partnering with design and development teams to build intuitive AI interfaces and utilities.
• AI Pair Programming Leadership:
  • Demonstrating hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Codeium).
  • Driving adoption of such tools across development teams, track measurable productivity improvements, and integrate into SDLC pipelines.
• Data-Driven Insight Generation:
  • Leading large-scale data analysis initiatives using AI/ML methods to generate meaningful business insights, predict customer behavior, and prevent billing-related issues.
  • Establishing feedback loops between customer behavior and billing system design.
• Thought Leadership & Strategy:
  • Acting as a thought leader in AI and customer experience within the organization.
  • Staying abreast of trends in AI and telecom customer experience; regularly benchmark internal initiatives with industry best practices.
• Architectural Excellence:
  • Owning and evolve the technical architecture of AI-driven billing capabilities, ensuring scalability, performance, security, and maintainability.
  • Collaborating with enterprise architects and domain leads to align with broader IT and digital transformation goals.
• Telecom Billing Domain Expertise:
  • Bring deep understanding of telecom billing functions, processes, and IT architectures, including usage processing, rating, billing cycles, invoice generation, adjustments, and revenue assurance.
  • Providing architectural guidance to ensure AI and analytics solutions are well integrated into core billing platforms with minimal operational risk.

Where you'll be working...

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

What we’re looking for...

You’re energized by the prospect of putting your advanced expertise to work as one of the most senior members of the team. You’re motivated by working on groundbreaking technologies to have an impact on people’s lives.

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 one or a combination of work
• Strong understanding of AI/ML concepts, including generative AI, LLMs (Large Language Models) etc with the ability to evaluate and apply them to solve real-world problems in telecom and billing.
• Familiarity with industry-leading AI models and platforms (e.g., OpenAI GPT, Google Gemini, Microsoft Phi, Meta LLaMA, AWS Bedrock), and understanding of their comparative strengths, pricing models, and applicability.
• Ability to scan and interpret AI industry trends, identify emerging tools, and match them to business use cases (e.g., bill explainability, predictive analytics, anomaly detection, agent assist).
• Skilled in adopting and integrating third-party AI tools—rather than building from scratch—into existing IT systems, ensuring fit-for-purpose usage with strong ROI.
• Experience working with AI product vendors, evaluating PoCs, and influencing make-buy decisions for AI capabilities.
• Comfortable guiding cross-functional teams (tech, product, operations) on where and how to apply AI tools, including identifying appropriate use cases and measuring impact.
• Deep expertise in writing effective and optimized prompts across various LLMs.
• Knowledge of prompt chaining, tool-use prompting, function calling, embedding techniques, and vector search optimization.
• Ability to mentor others on best practices for LLM prompt engineering and prompt tuning.
• In-depth understanding of telecom billing functions: mediation, rating, charging, invoicing, adjustments, discounts, taxes, collections, and dispute management.
• Strong grasp of billing SLAs, accuracy metrics, and compliance requirements in a telcom environment.
• Proven ability to define and evolve cloud-native, microservices-based architectures with AI components.
• Deep understanding of software engineering practices including modular design, API-first development, testing automation, and observability.
• Experience in designing scalable, resilient systems for high-volume data pipelines and customer interactions.
• Demonstrated hands-on use of tools like GitHub Copilot, Codeium, AWS CodeWhisperer, etc.
• Strong track record in scaling adoption of AI pair programming tools across engineering teams.
• Ability to quantify productivity improvements and integrate tooling into CI/CD pipelines.
• Skilled in working with large-scale structured and unstructured billing and customer data.
• Proficiency in tools like SQL, Python (Pandas, NumPy), Spark, and data visualization platforms (e.g., Power BI, Tableau).
• Experience designing and operationalizing AI/ML models to derive billing insights, detect anomalies, or improve revenue assurance.
• Excellent ability to translate complex technical concepts to business stakeholders.
• Influential leadership with a track record of driving innovation, change management, and cross-functional collaboration.
• Ability to coach and mentor engineers, analysts, and product owners on AI technologies and best practices.
• Keen awareness of emerging AI trends, vendor platforms, open-source initiatives, and market best practices.
• Active engagement in AI communities, publications, or proof-of-concept experimentation.

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

• A master’s degree

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

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours

40

Equal Employment Opportunity

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