> Markdown version of [/jobs/ext/2826368-associate-director-ai-platform-engineering](https://www.wearedevelopers.com/jobs/ext/2826368-associate-director-ai-platform-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Director - AI Platform Engineering - **Company:** Verizon Communications Inc. - **Location:** Bernards, NJ, United States (Remote available) - **Experience:** Expert - **Salary:** $126,000.0 - $242,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, BigQuery, Cloud Computing, PCI Data Security Standards, Prometheus, Zero Trust Network Access, Large Language Models, Grafana, Multi-Cloud, Rate Limiting, AI Platforms, Kubernetes, Information Technology, Apache Kafka, Data Management, Machine Learning Operations, Virtual Agents, Api Gateway - **Published:** September 10, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18232230?backUrl=%2Fcareer%2F18232230%2FAssociate-Director-Ai-Platform-Engineering-New-Jersey-Basking-Ridge ## About the Role * 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: model serving (vLLM, LLM Gateways, or equivalent), 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). Even better if you have one or more of the following: * A Bachelor's or Master's degree in Computer Science, Engineering, or an MBA. * Experience with API gateway patterns: JWT authentication, rate limiting, traffic splitting, circuit breakers, and mTLS * Software or platform engineering experience. * Experience with agentic AI frameworks (LangGraph, Google ADK, CrewAI, or similar). * Familiarity with MCP (Model Context Protocol) and A2A (Agent-to-Agent) standards. * Experience implementing zero-trust security (SPIFFE/SPIRE, OPA/Rego). * Experience with CDC pipelines and event-driven data platforms (BigQuery, Kafka). * Experience delivering platforms in a telecom or large regulated enterprise (CPNI, PCI-DSS, SOX). * Experience designing Responsible AI guardrails, evaluation pipelines, or model governance. * Experience with observability stacks (Jaeger, Prometheus/Grafana, ELK, or BigQuery-based). * Certifications: AWS Solutions Architect, GCP Professional Cloud Architect, CKA/CKAD. ## Description Where you'll be workingIn this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies. Scheduled Weekly Hours40 Equal Employment Opportunity ## Related Videos - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [The Private AI Platform: Why Agentic Apps Need a Private Application Platform](https://www.wearedevelopers.com/videos/100162-the-private-ai-platform-why-agentic-apps-need-a-private-application-platform) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) - [Making Data Warehouses fast. 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