Jobs · Engineering · Texas

Director, Enterprise Architecture, AI Architect

Celanese · Irving, TX · 1 wk ago
HybridEngineeringFull-time

Responsibilities

  • Define enterprise AI architecture and reference models across all applications, platforms, and data domains
  • Design secure AI, Agentic AI and GenAI systems for enterprise use cases including manufacturing, supply chain, and business functions
  • Lead AI security architecture including data protection, IAM, and secure integrations across IT environments
  • Establish governance frameworks, lifecycle management, and regulatory compliance
  • Ensure AI governance aligns with EU AI Act, NIST AI RMF, and ISO/IEC 42001 standards
  • Implement cost control strategies and FinOps practices
  • Define AI engineering standards (RAG, prompt engineering, LLMOps)
  • Provide executive advisory on AI strategy, risks, and investments
  • Closely collaborate with delivery and security teams and enforce architecture quality standards
  • Establish and lead the AI Center of Excellence (CoE)
  • Govern adherence to defined AI architecture standards, processes, and procedures via the CoE
  • Define, evolve, and publish new AI architecture standards and best practices
  • Drive reuse of patterns, components, and platforms across AI initiatives
  • Facilitate cross-functional collaboration through the CoE to scale AI capabilities

Requirements

  • Bachelor's degree or higher in a technology related field
  • 10+ years of progressive experience in enterprise architecture, AI architecture, data management, or broader IT functions
  • Extensive experience in enterprise AI architecture
  • Hands-on experience with production Agentic and GenAI systems
  • Hands-on experience with AI cost control
  • Strong cybersecurity and risk management mindset
  • Experience across multiple enterprise platforms and domains
  • Experience establishing or leading Centers of Excellence or governance bodies
  • Familiarity with leading AI governance frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001)

Qualifications

  • Experience with multi-platform integration (ERP, Cloud, Data Platforms, Applications)
  • Agentic AI / GenAI / LLM Architecture (RAG, LLMOps)
  • Cybersecurity and Risk Management
  • AI Governance Frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001)
  • Strategic Thinking and Leadership
  • Proven ability to collaborate effectively within teams, communicate seamlessly across various domains, and influence stakeholders at all levels including colleagues and key decision-makers.

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