Cloud Architect

Location: Bangalore, Karnataka, India; Hybrid

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).

Ford Credit is seeking a Cloud-Native Security & AI Architect (GCP / Zero Trust) to guide on-prem workload migrations into a secure, well-architected Google Cloud Platform (GCP) environment while shaping the approach to safe and effective AI enablement. This role focuses on establishing practical reference architectures, maturing enterprise cloud security patterns, and driving clarity for internal teams within a Zero-Trust security model.