Senior AI/ML Platform Architect (Hybrid)

Verizon; Bakersfield (CA); Hybrid; USD 121,000 - 231,000; Full time

Benefits offered by this job

Health and wellness benefits

401(k) matching

Parental leave

Tuition assistance

Vacation days

Job summary

Verizon is seeking a hands-on architectural engineer for the Enterprise AI Control Plane to build interfaces between AI developer platforms and governance hubs. You will design robust APIs, CI/CD guardrails, and real-time telemetry to ensure autonomous agents run safely at enterprise scale.

The ideal candidate has 6+ years of relevant experience, expertise in LLM operationalization and cloud architecture (AWS Bedrock), and will collaborate with cross-functional teams in a hybrid work environment.

Qualifications

• Bachelor's degree or four or more years of work experience.
• Six or more years of relevant experience required.
• 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 continuous real-time observability telemetry for production LLMs.
• Interacts daily with AI Platform Engineers, DevOps/DataOps teams, Data Scientists, and AI product developers across various Business Units to integrate their 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.

Job description

Verizon is seeking a hands-on architectural engineer for the Enterprise AI Control Plane to build interfaces between AI developer platforms and governance hubs. You will design robust APIs, CI/CD guardrails, and real-time telemetry to ensure autonomous agents run safely at enterprise scale.

The ideal candidate has 6+ years of relevant experience, expertise in LLM operationalization and cloud architecture (AWS Bedrock), and will collaborate with cross-functional teams in a hybrid work environment.