Principal Cloud AI Platform Architect

At GXO, we're constantly looking for talented individuals at all levelswho 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 workand the resources to build a career you can be proud of.

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.

• We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.

• 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, Git Ops, CI/CD pipelines, Dev Sec Ops  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 Fin Ops 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.

At a minimum, you'll need

• 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, Git Ops, 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…