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Verizon

Associate Director – AI Platform Engineering

Verizon

. Lead engineering delivery for Verizon’s Adaptive Intelligence Gateway and Agent Development Lifecycle platform pillars .

Posted 10/26/2026full-timeUnited StatesSenior💰 $126,000 - $242,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading engineering teams to deliver scalable platforms, with a strong focus on AI/ML infrastructure, multi-cloud environments, and developer platform solutions. Proven ability to achieve stringent performance metrics and compliance standards while fostering team growth and collaboration.

Highest-signal resume keywords
Technical Leadership ExperienceKubernetes ManagementAI/ML InfrastructureFinOps and Cost AllocationAPI Gateway Patterns

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringPlatform EngineeringModel ServingInference OptimizationDeveloper PlatformsZero-Trust SecurityCDC PipelinesEvent-Driven Data PlatformsResponsible AI DesignObservability Stacks
Soft Skills
Team ManagementCoachingCollaborationProblem SolvingCommunication
Tools & Technologies
KubernetesGCPAWSAgent SDKArgoCDJaegerPrometheusGrafanaELKBigQuery
Certifications & Qualifications
AWS Solutions ArchitectGCP Professional Cloud ArchitectCKACKAD
Industry Keywords
TelecomRegulated EnterpriseAI IntegrationsMulti-Cloud EnvironmentsAPI Gateway Patterns

Tech Stack

Tools & technologies
AWSBigQueryCloudGoogle Cloud PlatformGrafanaKafkaKubernetesPrometheus

About the role

Key responsibilities & impact
  • Lead engineering delivery for Verizon’s Adaptive Intelligence Gateway and Agent Development Lifecycle platform pillars
  • Manage a team of 3–5 engineers and own the engineering roadmap
  • Translate platform architecture into production-grade services for Verizon developers
  • Design and deliver intelligent model routing, multi-provider failover, FinOps and chargeback, semantic caching, and self-service tenant onboarding
  • Deliver the Agent Registry, Verizon Agent SDK, MCP Tool Gateway, and ArgoCD-managed DevSecOps pipeline
  • Achieve platform SLAs including 99.9% Gateway uptime, ≤2,000ms P95 latency, reduced agent deployment time, and 95%+ compliance
  • Consolidate business-unit AI integrations onto a managed gateway and enable real-time cost attribution
  • Onboard 5+ business-unit teams within 6 months
  • Ship Agent Registry GA and SDK v1.0
  • Establish the engineering operating cadence with Architecture, Operations, and business-unit consumers
  • Recruit, coach, and grow a team of 3–5 platform engineers
  • Set engineering standards, review designs, and remove blockers

Requirements

What you’ll need
  • Bachelor’s degree or four or more years of work experience
  • Eight or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training
  • Technical leadership experience managing software or platform engineers
  • Experience running Kubernetes at production scale
  • Experience operating in multi-cloud environments (GCP and AWS)
  • Experience with AI/ML infrastructure, including model serving, inference optimization, and LLMOps
  • Experience building developer platforms, including SDKs, CLIs, developer portals, or self-service onboarding
  • Experience with FinOps or cost allocation models, including chargeback, budget enforcement, and usage attribution
  • Experience with API gateway patterns, including JWT authentication, rate limiting, traffic splitting, circuit breakers, and mTLS
  • Software or platform engineering experience
  • Experience with agentic AI frameworks such as LangGraph, Google ADK, CrewAI, or similar
  • Familiarity with MCP and A2A standards
  • Experience implementing zero-trust security, including SPIFFE/SPIRE and OPA/Rego
  • Experience with CDC pipelines and event-driven data platforms, including BigQuery and Kafka
  • Experience delivering platforms in a telecom or large regulated enterprise
  • Experience designing Responsible AI guardrails, evaluation pipelines, or model governance
  • Experience with observability stacks such as Jaeger, Prometheus/Grafana, ELK, or BigQuery-based solutions
  • Certifications such as AWS Solutions Architect, GCP Professional Cloud Architect, CKA, or CKAD are beneficial
  • Ability to work in a hybrid arrangement with a minimum of three days per week in the office

Benefits

Comp & perks
  • Medical, dental, and vision benefits
  • Short- and long-term disability insurance
  • Basic life insurance
  • Supplemental life insurance
  • AD&D insurance
  • Identity theft protection
  • Pet insurance
  • Group home and auto insurance
  • Matched 401(k) savings plan
  • Up to 8 company-paid holidays per year
  • Up to 6 personal days per year
  • Paid parental leave
  • Adoption assistance
  • Tuition assistance
  • Other incentives
  • Premium pay opportunities including overtime, shift differential, holiday pay, and allowances
  • Up to 15 days of vacation per year for newly hired employees, increasing with additional service