Principal Cloud AI Platform Architect

- 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.

- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent work experience.

- 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.

- Google Cloud Professional Security Engineer certification.

- Google Cloud Professional Machine Learning Engineer certification.

- Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD).

- 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.