Associate Director - AI Platform Engineering

Posted Yesterday
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2 Locations
In-Office
126K-242K Annually
Senior level
Information Technology • Internet of Things • Other • Cybersecurity • Infrastructure as a Service (IaaS)
The Role
Leads engineering delivery for Verizon’s enterprise AI platform, including an AI Gateway and Agent Development Lifecycle. Manages 3–5 engineers, owns the roadmap, operates Kubernetes across GCP and AWS, delivers model routing and LLMOps capabilities, establishes developer SDKs and self-service onboarding, manages FinOps and platform SLAs, and drives secure, scalable agent deployment and enterprise adoption.
Summary Generated by Built In
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…
 

You’ll lead engineering delivery for two foundational pillars of Verizon’s enterprise AI Platform — the Adaptive Intelligence Gateway that routes every AI request across all business units and the Agent Development Lifecycle (ADLC) that governs how AI agents are built, registered, and deployed. You’ll manage a team of 3–5 engineers, own the engineering roadmap, and translate platform architecture into production-grade services that thousands of Verizon developers depend on. 

  • Owning AI Gateway engineering. Design and deliver intelligent model routing, multi-provider failover (Google Vertex, AWS Bedrock, OpenAI), per-BU FinOps 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/FinOps/guardrails, the MCP Tool Gateway, and an ArgoCD-managed DevSecOps 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 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.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

Where you’ll be working
In 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 

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Benefits and Compensation

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.

The salary range for the location(s) listed on this job requisition based on a full-time schedule is: $126,000.00 - $242,000.00.

Skills Required

  • Bachelor's degree or four or more years of work experience
  • Eight or more years of relevant experience
  • Technical leadership experience managing software or platform engineers
  • Experience running Kubernetes at production scale
  • Experience operating in multi-cloud environments, including GCP and AWS
  • Experience with AI/ML infrastructure, including model serving, inference optimization, and LLMOps
  • Experience building developer platforms such as SDKs, CLIs, developer portals, or self-service onboarding
  • Experience with FinOps or cost allocation models, including chargeback, budget enforcement, or usage attribution
  • Bachelor's or Master's degree in Computer Science, Engineering, or an MBA
  • Experience with API gateway patterns, including JWT authentication, rate limiting, traffic splitting, circuit breakers, or mTLS
  • Software or platform engineering experience
  • Experience with agentic AI frameworks such as LangGraph, Google ADK, or CrewAI
  • Familiarity with MCP and A2A standards
  • Experience implementing zero-trust security with SPIFFE/SPIRE or OPA/Rego
  • Experience with CDC pipelines and event-driven data platforms such as BigQuery or Kafka
  • Experience delivering platforms in telecom or large regulated enterprises
  • Experience designing Responsible AI guardrails, evaluation pipelines, or model governance
  • Experience with observability stacks such as Jaeger, Prometheus/Grafana, ELK, or BigQuery-based systems
  • AWS Solutions Architect, GCP Professional Cloud Architect, CKA, or CKAD certification

Verizon Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Verizon and has not been reviewed or approved by Verizon.

  • Fair & Transparent Compensation Fairness and competitiveness of pay are highlighted through statements such as “pay is good,” “pays very well,” and “the compensation at VZ is very competitive.” High earning potential is also described for certain roles, including base pay plus commissions and bonuses.
  • Healthcare Strength Healthcare coverage is portrayed as comprehensive, spanning medical, dental, and vision with before-tax contributions and preventive-care credits. Increased HSA contributions and multiple plan options further reinforce the perceived strength of health benefits.
  • Retirement Support Retirement offerings are positioned as robust, including a strong 401(k) match, pension eligibility for some groups, and additional financial protections like life and long-term disability coverage. Union contract updates also point to pension increases and retirement security improvements.

Verizon Insights

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The Company
HQ: New York, NY
Year Founded: 2000

What We Do

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We're a diverse network of people driven by our shared ambition to move the world forward - collectively building the network America relies on most. Here, we have the ability to learn and grow at the speed of technology, the space to create within every role, and the opportunity to shape a rewarding career.

Why Work With Us

Integrity. Respect. Excellence. Accountability. These are some of the key values at the heart of our Credo. This code of conduct lays out how we show up as a responsible business every day. It is the blueprint that inspires us to live up to the highest standards and defines who we are and how we work.

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