Principal AI/ML Platform Architect — Governance & CI/CD

Verizon; Irving (TX); Hybrid; USD 121,000 - 231,000; Full time

Job summary

Verizon in Irving, TX is seeking a hands-on architectural engineer for the Enterprise AI Control Plane. You will design robust APIs, automated CI/CD guardrails, and real-time observability to ensure safe autonomous agents at enterprise scale across AI platforms such as AWS Bedrock and Atlas AI.

You will collaborate with AI Platform Engineers, DevOps/DataOps, Data Scientists, and product developers to integrate models into the governance framework.

Qualifications

• Bachelor’s degree or 4+ years of relevant work experience.
• Six+ years of applicable experience in AI/ML tooling and platform engineering.
• Experience with LLM operationalization, orchestration, model evaluation, and automated safety testing.
• Experience in cloud architecture (AWS Bedrock).

Responsibilities

• Architect and code automated CI/CD governance pipelines with guardrails in deployment lifecycles.
• Implement advanced agent simulation and real-time observability telemetry for production LLMs.
• Collaborate with AI Platform Engineers, DevOps/DataOps, Data Scientists, and product developers to integrate models into governance.
• Design IAM and routing logic within the Agent Gateway for secure autonomous workflows.
• Develop robust API integrations connecting developer platforms with Verizon governance hubs.

Skills

API design

CI/CD pipelines

Cloud architecture

Kubernetes

Python

Observability

IAM

Education

Bachelor’s degree or 4+ years of work experience

Tools

AWS Bedrock

Atlas AI

Engram

Agent Registry

Vegas

CI/CD tools

Job description

Verizon in Irving, TX is seeking a hands-on architectural engineer for the Enterprise AI Control Plane. You will design robust APIs, automated CI/CD guardrails, and real-time observability to ensure safe autonomous agents at enterprise scale across AI platforms such as AWS Bedrock and Atlas AI.

You will collaborate with AI Platform Engineers, DevOps/DataOps, Data Scientists, and product developers to integrate models into the governance framework.