Senior AI Control Plane Architect

Verizon

Irving (TX)

Hybrid

USD 121,000 - 231,000

Full time

11 days ago
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Benefits offered by this job

Health benefits
Matched 401(k) plan
Paid time off

Job summary

Verizon is seeking an experienced Enterprise AI Control Plane architect for a hybrid role. You will design and implement automated CI/CD guardrails, real-time observability, and secure IAM-aware workflows to manage enterprise-scale autonomous agents.

You will collaborate with AI Platform Engineers, DevOps/DataOps, and data scientists to integrate models into governance hubs, using AWS Bedrock and Atlas AI across business units.

Qualifications

  • Bachelor’s degree or four or more years of work experience.
  • Six or more years of relevant experience.
  • 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 with guardrails.
  • Implement advanced agent simulation and real-time observability telemetry for production LLMs.
  • Collaborate with AI Platform Engineers, DevOps/DataOps, Data Scientists and AI product teams to integrate models into governance.
  • Design IAM and routing logic within the Agent Gateway for secure access boundaries.
  • Build API integrations connecting developer platforms with Verizon governance hubs.

Skills

CI/CD pipelines
API integrations
Cloud architecture
Python
Kubernetes
IAM
Data analytics

Education

Bachelor's degree or 4+ years experience
Masters in CS/AI (advantage)

Tools

AWS Bedrock
Atlas AI
Vegas
Engram
Agent Registry

Job description

Verizon is seeking an experienced Enterprise AI Control Plane architect for a hybrid role. You will design and implement automated CI/CD guardrails, real-time observability, and secure IAM-aware workflows to manage enterprise-scale autonomous agents.

You will collaborate with AI Platform Engineers, DevOps/DataOps, and data scientists to integrate models into governance hubs, using AWS Bedrock and Atlas AI across business units.

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