Senior AI Platform Engineering Lead

Verizon

Basking Ridge (NJ)

Hybrid

USD 156,000 - 212,000

Full time

4 days ago
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Job summary

Verizon is seeking a senior engineering leader to drive delivery of two foundational pillars of the enterprise AI Platform: the Adaptive Intelligence Gateway and the Agent Development Lifecycle. You will manage a 3-5 engineer team, own the roadmap, and translate architecture into production-grade services used by thousands of Verizon developers.

Requirements include 8+ years of relevant engineering leadership, production Kubernetes, multi-cloud experience (GCP/AWS), and strong AI/ML

Qualifications

  • Eight or more years of relevant experience required, demonstrated through work or military experience.
  • Experience running Kubernetes at production scale.
  • Experience operating in multi-cloud environments (GCP and AWS).
  • Experience with AI/ML infrastructure: model serving, inference optimization, and LLMOps.
  • Experience building developer platforms: SDKs, CLIs, developer portals, or self-service onboarding.
  • Experience with FinOps or cost allocation models (chargeback, budget enforcement, usage attribution).

Responsibilities

  • Own AI Gateway engineering, design and deliver intelligent model routing with multi-provider failover across BU lines.
  • Deliver Agent Development Lifecycle components, including registry and SDKs with guardrails.
  • Maintain SLA targets: high uptime, low latency, and rapid agent deployment times.
  • Drive platform consolidation and real-time cost attribution across 8+ BUs.
  • Onboard 5+ BU teams within 6 months and establish engineering cadence with key stakeholders.
  • Lead a 3-5 person team of platform engineers, reviewing designs and removing blockers.

Skills

Technical leadership
Kubernetes production
Multi-cloud infra
AI/ML infrastructure
FinOps
DevSecOps
SDKs/CLIs
Zero-trust security

Education

Bachelor's degree
MBA (nice to have)

Tools

Google Vertex
AWS Bedrock
OpenAI

Job description

Verizon is seeking a senior engineering leader to drive delivery of two foundational pillars of the enterprise AI Platform: the Adaptive Intelligence Gateway and the Agent Development Lifecycle. You will manage a 3-5 engineer team, own the roadmap, and translate architecture into production-grade services used by thousands of Verizon developers.

Requirements include 8+ years of relevant engineering leadership, production Kubernetes, multi-cloud experience (GCP/AWS), and strong AI/ML

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