Cloud Architect

Job Title: Cloud-Native Security & AI Architect (GCP / Zero Trust) Location: Hybrid — Dearborn, MI or Fully Remote (US based) Team: Ford Credit Enterprise Architecture

About the Role: Ford Credit is accelerating its transition to a Zero-Trust security model on Google Cloud Platform (GCP) and maturing their enterprise cloud security patterns. They are seeking a Cloud-Native Security & AI Architect to guide on-prem workload migrations into a secure, well-architected GCP environment, while also shaping their approach to safe and effective AI enablement (with a focus on agentic patterns in the SDLC). This role will help establish practical reference architectures, answering various “How do I do X securely?” questions from internal teams, driving clarity where standards are still emerging.

What Success Looks Like (6–12 Months):

• Documented, adopted reference architectures and patterns for Zero Trust on GCP.
• Reduced critical security gaps across migrated workloads; measurable maturity lift (e.g., from 1/5 toward 3/5).
• Repeatable Apigee patterns established; known gaps documented with remediation backlog and owners.
• Teams self-serve with “How to do X securely?” guides; faster decision cycles and fewer escalations.
• Safe, pragmatic AI enablement patterns integrated into SDLC with clear guardrails and logging.
• Established security governance frameworks and stage-gates with both automation and human-in-the-loop processes.

Tools & Ecosystem: GCP (IAM, Workload Identity, VPC, SCC, Cloud Armor, Secret Manager, Logging/Monitoring, GKE/Cloud Run, Build/Artifact), Apigee, GitHub, JIRA, Confluence, Vault (as applicable), Terraform (nice to have).