Distinguished Engineer - Applied AI Solutions

Verizon • Irving, TX

5d • Hybrid

About The Position

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.

Requirements

• 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.
• Strong familiarity with Generative AI concepts, including LLMs, prompt engineering, RAG, embeddings, fine-tuning, and agentic/multi-agent architectures.
• Proven experience building and deploying cloud-based solutions across all three major cloud providers (AWS, Azure, and GCP).
• Experience with on-premise AI inference at the edge, including deploying and optimizing models in resource-constrained, low-latency, or disconnected environments.
• Strong security background, with the ability to design and implement security guardrails for AI products and platforms as AI-related security threats continue to increase (e.g., prompt injection, data leakage, model abuse, adversarial inputs).
• Strong problem-solving abilities along with verbal and written communication skills.

Nice To Haves

• A Master's degree in Computer Science or related technical field.
• Experience with Gen AI platforms and tools (e.g., Amazon Bedrock, Google Vertex AI, LangChain, or similar frameworks).
• Experience with MLOps/LLMOps practices, including model monitoring, fine tuning, evaluation pipelines, and CI/CD for AI systems.
• Knowledge of cloud architecture across AWS, Azure, and/or GCP.
• Demonstrated experience leading technical projects or mentoring engineering teams.
• Ability to synthesize project findings and translate them into architecture and platform recommendations.

Responsibilities

• 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.

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
• tuition assistance
• overtime
• shift differential
• holiday pay
• allowances
• vacation

What This Job Offers

• Job Type: Full-time
• Career Level: Senior