Associate Director - AI Platform Engineering Job Irving area,Texas USA,Software Development

Irving, Texas /
Basking Ridge, New Jersey

Job : R-1100303

Apply prior to the end date:
October 8, 2026

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world.

Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere &always. Want in? Join the #VTeamLife.

What you’ll be doing …

Owning AI Gateway engineering. Design and deliver intelligent model routing, multi-provider failover (Google Vertex, AWS Bedrock, OpenAI), per-BU Fin Ops and chargeback, semantic caching, and self-service tenant onboarding on a Kubernetes/Istio foundation with JWT-driven multi-tenant namespace isolation.
Delivering the Agent Development Lifecycle. Ship the Agent Registry with zero-trust identity (SPIFFE/SPIRE), the Verizon Agent SDK with pre-integrated LLMOps/Fin Ops/guardrails, the MCP Tool Gateway, and an ArgoCD-managed Dev Sec Ops pipeline with canary deployments and auto-rollback.
Hitting the SLAs that keep the platform trusted. 99.9% Gateway uptime, ≤2,000ms P95 latency, Mean Time to Agent Deploy reduced from 21 days to ≤7 days, 95%+ Agent & Registry Compliance.
Driving enterprise consolidation and cost control. Consolidate 8+ independent BU AI integrations onto one managed gateway, enable real-time cost attribution, and unlock $500K+ quarterly optimization savings through intelligent routing.
Onboarding the business. Land 5+ BU teams on the platform within 6 months, ship Agent Registry GA and SDK v1.0, and establish the engineering operating cadence with Architecture, Operations, and BU consumers.
Leading the team. Recruit, coach, and grow a team of 3–5 platform engineers; set the engineering bar, review designs, and remove blockers so the team ships.

What we’re looking for… You’ll need to have:

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 Fin Ops 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 (Lang Graph, 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 (Big Query, 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,…