Director, Enterprise Architect, AI Architecture

United States·Irvingexecutive

EngineeringSoftware Architect

0 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Define enterprise AI architecture and reference models across all applications, platforms, and data domains Design secure AI,

Requirements Summary

Experience & Qualifications Bachelor's degree or higher in a technology related field 10+ years of progressive experience in enterprise architecture, AI architecture, data management,

Technical Tools

EngineeringSoftware Architect

The Director, Enterprise Architecture, AI Architect will lead the design, security, governance, and continuous evolution of enterprise AI solutions across all IT solutions and business domains, including manufacturing and supply chain. Additionally establishes and operates the AI Center of Excellence (CoE) to drive standardization, governance, and innovation across all AI initiatives. The position will be located at our Irving, Texas office.

Responsibilities

~2 min read

→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

Key Performance Indicators

→Adoption of standardized AI architecture across the enterprise
→Zero or minimal critical security incidents
→Compliance with governance and regulatory standards (EU AI Act, NIST AI RMF, ISO/IEC 42001)
→AI cost efficiency and optimization
→Business impact across functions (operations, supply chain, finance, customer solutions)
→Adoption and effectiveness of AI CoE standards and operating model

Scope & Impact

→Enterprise-wide scope across all IT solutions and business domains
→Covers cloud, data platforms, enterprise applications, and integration layers
→Direct impact on operational efficiency, risk posture, and digital transformation
→Ownership of enterprise AI standards, governance, and CoE operating model

Requirements

~2 min read

Experience & Qualifications

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
Experience with IoT
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)

Core Competencies

Enterprise & AI Architecture
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.

Celanese is a global leader in chemistry, producing specialty material solutions used across most major industries and consumer applications. Our businesses use our chemistry, technology and commercial expertise to create value for our customers, employees and shareholders. We support sustainability by responsibly managing the materials we create and growing our portfolio of sustainable products to meet customer and societal demand. We strive to make a positive impact in our communities and to foster inclusivity across our teams. Celanese Corporation employs more than 11,000 employees worldwide with 2024 net sales of $10.3 billion. For more information about Celanese Corporation and its product offerings, visit www.celanese.com.