Cloud Architect
Ford Motor Company · Bangalore, Karnataka, India
Motor Vehicle Manufacturing · 10,001+ employees
About the role
The Cloud-Native Security & AI Architect will guide on-prem workload migrations into a secure GCP environment while establishing Zero-Trust reference architectures. This role also involves shaping safe AI enablement patterns and driving security governance across the enterprise.
What they look for
Requirements
Candidates must have over 10 years of IT experience, including at least 7 years in cloud architecture and 4 years in enterprise cloud security. Deep hands-on expertise with GCP security services, Zero-Trust principles, and API security patterns is required.
Full description
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).
