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 protected 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.