Principal Engineer – AI Platform Architect

Verizon

. Direct the five-layer Enterprise AI Platform architecture stack: Model Foundation, Agent Factory, Agent Runtime, Experience, and Control Plane .

Posted 10/26/2026full-timeUnited StatesLead💰 $120,500 - $231,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Enterprise AI Platform architecture, including multi-cloud strategies and security flows. Proficient in designing AI/ML systems and architecting agentic AI systems while ensuring compliance with regulations.

Highest-signal resume keywords

Enterprise AI Platform ArchitectureAI/ML System DesignMulti-Cloud StrategySecurity ArchitectureAPI Platform Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software ArchitectureAgentic DevelopmentDistributed SystemsKubernetesLLM ArchitectureMLOpsRAG ArchitectureFinOpsOpenTelemetryArchitecture Decision Records

Soft Skills

LeadershipCollaborationInfluencing Technical DirectionConsultative OversightCapacity Planning

Tools & Technologies

Google Cloud PlatformAmazon Web ServicesService MeshAPI GatewaysEvent-Driven PatternsZero-Trust SecurityVaultMTLSSPIFFE/SPIREVector Databases

Certifications & Qualifications

AWS Solutions Architect ProfessionalGCP Professional Cloud Architect

Industry Keywords

Regulated EnvironmentsTelecom ArchitectureCPNI CompliancePCI-DSS ComplianceAgent RuntimesMulti-Agent OrchestrationIdentity ManagementAuthenticationAudit ComplianceTotal Cost of Ownership

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsGoogle Cloud PlatformKubernetesVault

About the role

Key responsibilities & impact

Direct the five-layer Enterprise AI Platform architecture stack: Model Foundation, Agent Factory, Agent Runtime, Experience, and Control Plane
Define formal layer boundaries, interface contracts, and interaction patterns for platform scalability
Establish and govern API conventions, enterprise security patterns, and observability requirements
Lead component reviews and provide consultative oversight for Business Unit agent architectures
Execute complex build-vs-buy analyses for platform components
Develop comprehensive three-year Total Cost of Ownership models
Formulate multi-cloud strategies balancing central platform services with decentralized requirements
Design multi-stage security flows covering identity, authentication, execution safety, and audit
Engineer Responsible AI guardrail architectures and ensure compliance with emerging international regulations
Collaborate with executive leadership and external cloud partners on capacity planning and integration
Author Architecture Decision Records and spearhead Architecture Review Board submissions
Contribute high-impact reference architectures to the enterprise library
Drive technical consensus and influence strategic technical direction across the organization

Requirements

What you’ll need

Bachelor's degree or four or more years of work experience
Six or more years of relevant experience, demonstrated through 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, including LangGraph and Google ADK
Experience with distributed systems, including 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, specifically GCP and AWS
Experience with API platform design, OpenAI-compatible interfaces, SDK design, and developer experience
Experience presenting architecture recommendations to VP/SVP-level leadership
Master's degree in Computer Science, Engineering, or an MBA (even better)
Experience architecting agentic AI systems, including agent runtimes, multi-agent orchestration, and memory systems (even better)
Experience with security architecture, including zero-trust, SPIFFE/SPIRE, mTLS, OPA, Vault, and regulated environments such as CPNI and PCI-DSS (even better)
Experience with MCP and A2A protocol design (even better)
Experience designing RAG architectures, including vector databases, hybrid search, and re-ranking (even better)
Experience with MLOps/LLMOps at scale, including model registry and RLHF/RLAIF (even better)
Experience with FinOps at scale and unit economics for AI workloads (even better)
Telecom or regulated enterprise architecture background (even better)
Experience architecting OpenTelemetry-based observability platforms (even better)
Published architecture writing or open-source AI/ML contributions (even better)
AWS Solutions Architect Professional or GCP Professional Cloud Architect certification (even better)

Benefits

Comp & perks

Medical, dental, and vision insurance
Short- and long-term disability insurance
Basic life insurance
Supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home & 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
Potential premium pay such as overtime, shift differential, holiday pay, and allowances
Up to 15 days of vacation per year for newly hired employees, increasing with additional service
Incentive-based compensation with potential to earn more