Principal Cloud AI Platform Architect

GXO Logistics•Remote, OH

23h

About The Position

At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you’ll have the support to excel at work and the resources to build a career you can be proud of. Principal Cloud AI Platform Architect Are you ready to take your career to the next level with a rapidly growing global company? As the Principal Cloud AI Platform Architect, Google Cloud, you will serve as GXO's principal authority for Google Cloud architecture, platform engineering, and enterprise cloud design. This role provides hands-on technical leadership across Google Cloud Platform (GCP), establishing architectural standards, engineering best practices, and secure-by-default cloud foundations that enable enterprise-scale innovation. If you're looking for an opportunity to shape the future of cloud architecture and enterprise AI at a global scale, join us at GXO.

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent work experience.
Google Cloud Professional Cloud Architect certification.
12–15+ years of experience in cloud architecture, enterprise architecture, distributed systems, or platform engineering.
7+ years of hands-on experience designing and operating enterprise-scale Google Cloud environments.
Deep expertise in Google Cloud architecture including landing zones, organization policies, IAM, Workload Identity Federation, networking, Shared VPC, Private Service Connect, VPC Service Controls, Cloud KMS/CMEK, IAP, logging, monitoring, and secure cloud operations.
Extensive experience designing and operating production Google Kubernetes Engine (GKE) platforms.
Strong experience implementing Infrastructure as Code using Terraform, GitOps, CI/CD pipelines, and policy-as-code frameworks.
Demonstrated expertise implementing zero-trust cloud security, identity federation, least privilege access, encryption, secrets management, audit logging, and governance.
Experience designing enterprise observability and FinOps capabilities including monitoring, tracing, cost management, budgeting, and operational maturity.
Experience designing enterprise AI or LLM platforms utilizing Vertex AI, Gemini Enterprise Agent Platform, LiteLLM, MCP, AI gateways, agent runtimes, or comparable technologies.
Excellent analytical skills with the ability to translate complex business requirements into scalable enterprise architectures.
Strong written communication skills with experience producing executive-ready architecture documentation, standards, design reviews, and technical recommendations.
Exceptional communication and collaboration skills with the ability to engage engineering teams, executive leadership, technology partners, and security organizations.
Proven ability to prioritize competing initiatives while balancing architecture strategy, hands-on engineering, and stakeholder engagement.
Ability to operate effectively with minimal supervision in a fast-paced, global enterprise environment.

Nice To Haves

Google Cloud Professional Security Engineer certification.
Google Cloud Professional DevOps Engineer certification.
Google Cloud Professional Machine Learning Engineer certification.
Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD).
HashiCorp Terraform Associate certification.
Experience integrating Google Cloud workloads with Snowflake using OAuth, RBAC, masking policies, row-level security, and governed data access.
Experience designing secure multi-tenant enterprise platforms on Google Cloud.
Experience evaluating emerging AI, cloud, and platform technologies for enterprise adoption.
Demonstrated success collaborating within enterprise architecture organizations while contributing to shared standards and technical governance.
Experience mentoring architects and engineers while elevating enterprise architecture practices across large organizations.

Responsibilities

Provide principal-level architecture leadership for GXO's Google Cloud environment, including landing zones, organization policies, networking, identity, security, and platform design.
Design and evolve enterprise Google Cloud foundations including folder and project hierarchy, Shared VPC, Private Service Connect, Identity-Aware Proxy (IAP), Workload Identity Federation, Secret Manager, Cloud KMS/CMEK, and Cloud Logging and Monitoring.
Lead architecture for Google Kubernetes Engine (GKE), including networking, ingress/egress, autoscaling, security, observability, production operations, and deployment standards.
Establish enterprise platform engineering standards through Terraform modules, GitOps, CI/CD pipelines, DevSecOps controls, policy-as-code, and paved-road developer experiences.
Develop and maintain enterprise reference architectures, architectural decision records (ADRs), technical standards, and cloud design patterns.
Partner with Information Security to implement zero-trust architecture, identity federation, least privilege access, encryption, secrets management, audit logging, and secure-by-default cloud operations.
Define enterprise observability and FinOps standards including cost attribution, budgeting, service level objectives (SLOs), tracing, monitoring, and operational excellence.
Lead the Google Cloud architecture for GXO's Enterprise AI Platform, including Gemini Enterprise Agent Platform, LiteLLM, Agent Gateway, MCP, Agent Registry, ADK, and governed Snowflake integrations.
Partner with Data Engineering, Security, and Product Architecture to design secure, scalable, model-agnostic AI inference, agent runtimes, identity passthrough, tool execution, and end-to-end traceability.
Contribute to future AI platform capabilities including model tiering, open-source model serving on GKE, and evolving enterprise AI architecture.
Serve as the principal Google Cloud architect supporting additional enterprise workloads including analytics, application modernization, integration, and data platforms.
Evaluate emerging Google Cloud technologies and strategic partner offerings for enterprise adoption.
Conduct architecture reviews, design governance, technical mentorship, and executive-level technology recommendations.
Collaborate with enterprise, infrastructure, security, and data architects to establish consistent cloud architecture standards across GXO.
Provide hands-on technical leadership by writing Terraform, reviewing IAM policies, troubleshooting GKE networking, and partnering directly with engineering teams.