Principal Engineer- AI Platform Architect

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
121K-231K Annually
Senior level
Information Technology • Internet of Things • Other • Cybersecurity • Infrastructure as a Service (IaaS)
The Role
Lead the architecture of Verizon’s enterprise AI platform across five layers, defining interfaces, standards, security, governance, observability, and scalability patterns. Conduct build-versus-buy evaluations and three-year TCO modeling, develop multi-cloud strategies, and architect LLM, agentic AI, and responsible AI capabilities. Create ADRs and reference architectures, guide reviews, and influence executive and engineering stakeholders. The role requires expertise in distributed systems, Kubernetes, LLM architecture, cloud platforms, API design, enterprise security, and agent orchestration.
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…

As the Principal Architect for Verizon’s Enterprise AI Platform, you will provide technical leadership for a comprehensive 5-layer architecture serving all global business units. Your primary mandate is to ensure architectural coherence across the ecosystem, aligning Gateway routing with the Registry’s RBAC models, integrating the ADLC pipeline with established guardrail frameworks, and providing end-to-end token visibility for FinOps. In this capacity, you will author Architecture Decision Records (ADRs), spearhead Architecture Review Board (ARB) submissions, and conduct rigorous build-vs-buy analyses supported by multi-year Total Cost of Ownership (TCO) models. This principal-level individual contributor role requires the ability to exert technical influence and drive consensus across the organization through design excellence and strategic vision.

  • Direct the 5-layer architecture stack — Encompassing Model Foundation, Agent Factory, Agent Runtime, Experience, and Control Plane layers. Responsibilities include defining formal layer boundaries, interface contracts, and interaction patterns to ensure platform scalability. 

  • Establish and govern architectural standards — Defining API conventions, enterprise security patterns, and observability requirements. Lead component reviews and provide consultative oversight for Business Unit agent architectures to ensure platform alignment.

  • Lead technical strategy and procurement evaluations — Executing complex build-vs-buy analyses for platform components and develop comprehensive 3-year TCO models. Formulate multi-cloud strategies balancing central platform services with decentralized requirements.

  • Architect enterprise security and governance frameworks — Designing multi-stage security flows encompassing identity, authentication, execution safety, and audit. Engineer Responsible AI (RAI) guardrail architectures and ensure compliance with emerging international regulations. 

  • Stakeholder engagement and pattern evangelization — Collaborating with executive leadership and external cloud partners on capacity planning and integration. Contribute high-impact reference architectures to the enterprise library to drive architectural maturity. 

What we’re looking for…

What you'll be doing…

Principal-level architect with a demonstrated focus on technical interface contracts and Total Cost of Ownership (TCO) modeling. Candidates must possess a proven history of designing scalable distributed platforms and establishing architectural credibility with both executive leadership and engineering teams through rigorous Architecture Decision Records (ADRs). Deep technical proficiency in Large Language Model (LLM) architecture—including attention mechanisms, KV-cache, context windows, and token economics—is required, alongside the ability to substantiate build-vs-buy recommendations with robust, 3-year financial models. This position demands the agility to navigate rapidly evolving AI technologies and the ability to drive strategic consensus and influence technical direction across the organization.
 

You’ll need to have:
  • Bachelor's degree or four or more years of work experience.

  • Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.

  • Experience in software or platform architecture, with designing AI/ML systems.

  • Experience as a system-level architect with proven ADRs and reference architectures.

  • Experience with agentic development and design patterns. (LangGraph and Google ADK)

  • Experience with distributed systems: service mesh, API gateways, event-driven patterns, multi-tenancy, and data isolation.

  • Experience with Kubernetes at enterprise scale.

  • Experience with LLM architecture — transformers, attention, KV-cache, context windows, token economics, and routing patterns.

  • Experience in multi-cloud environments (GCP and AWS).

  • Experience with API platform design: OpenAI-compatible interfaces, SDK design, developer experience.

  • Experience presenting architecture recommendations to VP/SVP-level leadership.
     

Even better if you have one or more of the following:
  • A Master’s degree in Computer Science, Engineering, or an MBA.

  • Experience architecting agentic AI systems — agent runtimes, multi-agent orchestration, memory systems.

  • Experience with security architecture: zero-trust (SPIFFE/SPIRE), mTLS, OPA, Vault, and regulated environments (CPNI, PCI-DSS).

  • Experience with MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocol design.

  • Experience designing RAG architectures (vector databases, hybrid search, re-ranking).

  • Experience with MLOps/LLMOps at scale (model registry, RLHF/RLAIF).

  • Experience with FinOps at scale — unit economics for AI workloads.

  • Telecom or regulated enterprise architecture background.

  • Experience architecting OpenTelemetry-based observability platforms.

  • Published architecture writing or open-source AI/ML contributions.

  • Certifications: AWS Solutions Architect Professional, GCP Professional Cloud Architect.
     

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 annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00.

Skills Required

  • Bachelor's degree or four or more years of work experience
  • Six or more years of relevant experience
  • Experience in software or platform architecture and designing AI/ML systems
  • Experience as a system-level architect with Architecture Decision Records and reference architectures
  • Experience with agentic development and design patterns, including LangGraph and Google ADK
  • Experience with distributed systems, service mesh, API gateways, event-driven patterns, multi-tenancy, and data isolation
  • Experience with Kubernetes at enterprise scale
  • Experience with LLM architecture, including transformers, attention, KV-cache, context windows, token economics, and routing patterns
  • Experience in multi-cloud environments using GCP and AWS
  • Experience with API platform design, OpenAI-compatible interfaces, SDK design, and developer experience
  • Experience presenting architecture recommendations to VP or SVP-level leadership
  • Master's degree in Computer Science, Engineering, or an MBA
  • Experience architecting agentic AI systems, agent runtimes, multi-agent orchestration, and memory systems
  • Experience with security architecture, zero-trust, SPIFFE/SPIRE, mTLS, OPA, Vault, and regulated environments
  • Experience with MCP and A2A protocol design
  • Experience designing RAG architectures, vector databases, hybrid search, and re-ranking
  • Experience with MLOps or LLMOps at scale, model registries, RLHF, or RLAIF
  • Experience with FinOps at scale and unit economics for AI workloads
  • Telecom or regulated enterprise architecture background
  • Experience architecting OpenTelemetry-based observability platforms
  • Published architecture writing or open-source AI/ML contributions
  • AWS Solutions Architect Professional or GCP Professional Cloud Architect 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.

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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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