Distinguished Engineer - Applied AI Solutions - Verizon

OpenTalent; Irving (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Verizon is seeking a Distinguished Member of Technical Staff to architect and build the applied AI layer for autonomous networking. This role will own Gen AI systems, spanning LLMs, agentic frameworks, and cloud integration across three major providers.

You will implement Gen AI solutions within Verizon's Standard Operating Environment to enable intelligent, self-defending platforms. The position emphasizes design, mentorship, and real-world deployment of Gen AI capabilities across networks and

Qualifications

• Bachelor's degree or 4+ years of work experience.
• 8+ years of relevant experience required.

Responsibilities

• Design, build, deploy Gen AI solutions on Verizon's Gen AI platform for network/product use cases.
• Partner with network/product teams to identify high-value AI use cases and scale them.
• Evaluate/integrate LLMs, RAG, prompt engineering, fine-tuning, agentic AI into prod systems.
• Architect/deploy AI workloads across AWS, Azure, GCP for performance and cost.
• Collaborate across engineering, data science, and product teams to streamline dev lifecycle.
• Establish best practices for evaluation, responsible AI, security and governance.
• Mentor engineers and lead Gen AI adoption across the org.

Skills

Gen AI

LLMs

RAG

Prompt engineering

Fine-tuning

Agentic AI

AWS

Azure

GCP

Leadership

Education

Bachelor's degree

Tools

Gen AI platform

Job description

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…

Verizon is building one of the most advanced autonomous networks in the industry. We are looking for a Distinguished Member of Technical Staff to join our team to architect & build the applied AI layer behind that autonomy.

You will own the design of Gen AI-powered systems — spanning LLMs, agentic frameworks, and all three major cloud providers, from the data center to the edge — that turn Verizon's infrastructure into intelligent, self-defending, self-optimizing platforms. You will implement Generative AI solutions across our Standard Operating Environment that enable applied AI solutions for products and services.

This is a builder's role for a technical leader who wants to work at the frontier of applied AI and autonomous networking — backed by the scale of Verizon.

The key responsibilities include:

Designing, building, and deploying applied AI/Gen AI solutions on Verizon's Gen AI platform to support Network and product use cases.

Partnering with Network and product teams to identify high-value use cases and translate them into scalable AI-driven solutions.

Evaluating and integrating large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, fine-tuning, and agentic AI frameworks into production systems.

Architecting and deploying AI workloads across AWS, Azure, and Google Cloud Platform, selecting the right cloud services for performance, cost, and scale.

Collaborating with cross-functional engineering, data science, and product teams to streamline the AI solution development lifecycle.

Establishing best practices for model evaluation, responsible AI, security, and governance across Gen AI deployments.

Mentoring engineers and acting as a technical thought leader on Gen AI adoption across the organization.

What we're looking for…

This position will help drive innovation, operational efficiency, and customer experience by applying Generative AI capabilities to real-world Network and product challenges.

You'll need to have:

Bachelor's degree or four or more years of work experience.

Eight or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.