# Director, Enterprise Architect – Enterprise API, AI Security & Governance, Engineering Excellence

**Company**: Ford
**Location**: Chennai, Tamil Nadu
**Work arrangement**: hybrid
**Experience**: executive
**Job type**: full-time
**Category**: IT
**Industry**: Automotive

**Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/67365?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5f7ee56d-f2e

## Description

We are seeking a Director-level Enterprise Architect to lead identity, API, and AI security governance across the global enterprise, operating at the intersection of cybersecurity, cloud infrastructure & platforms, and emerging AI technologies.

The ideal candidate combines deep hands-on technical credibility across cloud, AI, and security domains with the leadership maturity to build and grow a large, cross-functional team of polyglot architects from the ground up, in a greenfield security architecture practice.

## Responsibilities

### API Security Architecture

- Design and govern secure architecture patterns for Ford's high-traffic, business-critical APIs, embedding security and governance directly into the API lifecycle.

- Partner with platform engineering to strengthen authentication, authorization, and threat protection across the API gateway ecosystem.

- Champion a shift-left approach to API security and compliance by embedding automated checks directly into the build phase, catching issues early in the development lifecycle.

- Familiarity with security tooling such as FOSSA, Cycode, 42Crunch, Cloud Armor, PRISMA is a strong plus.

### Identity & Access Architecture

- Architect a unified, vendor-agnostic identity fabric across Ford's global enterprise, resolving the complexity of a multi-IdP environment while eliminating vendor lock-in.

- Define modern application authorization patterns , including OAuth On-Behalf-Of (OBO) flows and delegated access models , that scale securely across applications, APIs, and AI agents.

- Establish governance standards spanning workforce, customer, and machine/non-human identities.

### AI & Agent Security Governance

- Define and enforce enterprise-wide governance frameworks for MCP, APIs, Agents, and Skills.

- Partner with the Platform team (EPEO) to evaluate and govern the enterprise, AI Gateway.

- Maintain deep, current knowledge of the agent-building ecosystem , low-code/no-code and pro-code options using Microsoft and Gemini Enterprise, plus hands-on expertise in the Google Agent Development Kit (ADK) , to guide secure, scalable agent adoption.

### Engineering Excellence – Patterns & Reference Architecture

- Design and publish reusable patterns and reference architectures for AI solutions, giving teams across Ford consistent, secure building blocks rather than ad-hoc implementations.

- Build starter apps/templates for the Google ADK, providing pro-code agent developers a secure, governed foundation to build from.

### Cloud & Infrastructure Architecture

- Lead strategy for multi-cloud interoperability, ensuring consistent, portable security architecture across cloud providers.

- Maintain a strong command of GCP architecture , scalability, resiliency, and cost/FinOps , to guide sound, cost-conscious infrastructure decisions.

### Applied AI & Insights

- Apply predictive AI models to real enterprise use cases, delivering actionable insights that inform security, architecture, and business strategy.

### Cross-Functional Collaboration

- Partner closely with cybersecurity, platform (EPEO), infrastructure, and data/AI (GDAI) teams to align governance and reference architectures with evolving platform capabilities and enterprise roadmaps.

### Team Leadership & Talent Development

- Lead, mentor, and grow a cross-functional team of 20+ polyglot architects (Java, UI, AI, Python, GCP).

- Build a culture of Engineering Excellence , driving technical rigor, continuous learning, and cross-skilling.

## Qualifications

### Required Qualifications

- 15+ years of progressive experience in enterprise architecture, cybersecurity architecture, or platform engineering, including significant time in identity & access management (IAM) and API security architecture.

- Proven, hands-on experience architecting multi-IdP identity environments, with deep knowledge of protocols such as OAuth 2.0, OIDC, SAML , including practical implementation of OBO (On-Behalf-Of) flows and delegated authorization patterns.

- Demonstrated experience with API gateway architecture, threat protection, and API lifecycle governance at enterprise scale.

### Preferred Qualifications

- Multi-cloud architecture experience (GCP plus AWS/Azure), particularly around interoperability and portability of security controls.

- Prior experience in the automotive, manufacturing, or large-scale digital/eCommerce enterprise environment.

## Skills

### Required
- OAuth 2.0
- OIDC
- SAML
- API gateway architecture
- Threat protection
- API lifecycle governance
- Google Cloud Platform (GCP)
- Microsoft Copilot Studio
- Gemini Enterprise
- Google Agent Development Kit (ADK)

### Nice to have
- Multi-cloud architecture
- AWS
- Azure
- FOSSA
- Cycode
- 42Crunch
- PRISMA

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Source: [Apply at efds.fa.em5.oraclecloud.com](https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/67365?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)