Senior AI Platform Architect – Safe LLM Ops

Cellco Partnership; Irving (TX); Hybrid; USD 130,000 - 210,000; Full time

Benefits offered by this job

Hybrid work arrangement

401(k) plan

Paid time off

Tuition assistance

Job summary

Verizon is seeking a hands-on architectural engineer for the Enterprise AI Control Plane. You will design robust APIs, CI/CD guardrails, and observability for autonomous agents at enterprise scale, collaborating with engineering, data science, and product teams.

The role requires deep experience in LLM operationalization, cloud-native architectures, and security-focused governance. A hybrid work setup and strong communication are essential to success.

Qualifications

• Bachelor's degree or four or more years of work experience.
• Six or more years of relevant experience required, demonstrated through work or military experience or specialized training.
• Experience in LLM operationalization, orchestration frameworks, model evaluation frameworks, agentic workflows, and automated safety testing.
• Experience in cloud architecture (AWS Bedrock).

Responsibilities

• Architect and code automated CI/CD governance pipelines that inject Security and RIL guardrails directly into the deployment lifecycle.
• Implement advanced agent simulation and real-time observability telemetry for production LLMs.
• Interact daily with AI Platform Engineers, DevOps/DataOps teams, Data Scientists, and AI product developers across Business Units to integrate models into the governance framework.
• Architect Identity & Access Management (IAM) and routing logic within the Agent Gateway to ensure autonomous workflows operate with secure access boundaries.
• Build robust API integrations connecting developer platforms with Verizon governance hubs.

Skills

LLM operationalization

Python

Kubernetes

CI/CD

AI governance

Education

Bachelor's degree

4+ years work experience

Tools

AWS Bedrock

Atlas AI

Job description

Verizon is seeking a hands-on architectural engineer for the Enterprise AI Control Plane. You will design robust APIs, CI/CD guardrails, and observability for autonomous agents at enterprise scale, collaborating with engineering, data science, and product teams.

The role requires deep experience in LLM operationalization, cloud-native architectures, and security-focused governance. A hybrid work setup and strong communication are essential to success.