Enterprise Architect - AI

Job Posting External

Primary Responsibilities

• Collaborate with organizational stakeholders and internal colleagues to determine business goals and objectives related to AI and digital capabilities.
• Recommend and participate in the analysis, evaluation, and development of long-term strategic plans to ensure architectural objectives are consistent with the enterprise’s long-term business strategies and goals.
• Design, govern, and maintain AI architectures, platforms, integration patterns, and reference models that align with enterprise standards.
• Create and maintain architecture models and documentation that reflect the Company’s business goals and strategies, including three-to-five-year target-state architectures.
• Define data storage, metadata management, model lifecycle management, and usage rights for persistent data and AI assets, and establish appropriate data and AI governance.
• Document gaps between current-state and target-state architectures and establish plans—including qualitative assessments of effort, cost, duration, and risk—to close those gaps.
• Collaborate with software development, data, and AI teams to review solution objectives and constraints and determine conformance with enterprise and AI architecture standards.
• Participate in and facilitate Architecture Working Groups supporting AI and enterprise architecture evolution.
• Analyze the viability of the enterprise and AI architecture in the context of expected organizational and technological change.
• Identify opportunities to improve AI-enabled systems to better support current and future business goals, improve scalability, and reduce cost or complexity.
• Determine and support build-versus-buy decisions for AI platforms, tools, and services.  
• Establish and foster strong relationships with business leaders, technology teams, vendors, and service providers.
• Provide governance and oversight for the full AI solution lifecycle, including data preparation, model development, validation, deployment, monitoring, and retirement, without assuming responsibility for delivery execution or operational ownership.
• Implement and enforce responsible AI controls and ensure compliance with security, privacy, regulatory, audit, and ethical standards.
• Publish and maintain architecture standards, guidelines, and documentation, ensuring the technical community understands and adheres to the approved enterprise and AI architecture direction.

Minimum Qualifications

• Bachelor’s degree in computer science, engineering, data science, or a related field
• 8+ years of related experience in enterprise architecture, AI/ML engineering, data engineering, or large-scale solution architecture
• Experience designing and governing enterprise-scale AI and data-driven systems
• Familiarity with architecture governance, security, privacy, and compliance frameworks

Non-degree candidates may be considered with equivalent experience consistent with Company standards.

Preferred Qualifications

• Deep hands-on experience with AI/ML engineering, MLOps/LLMOps, and AI platform orchestration
• Strong cloud, data, integration (API), and security architecture skills
• Experience modeling architectures across business, information, application, data, AI, and technical layers
• Experience evaluating emerging technologies and leading proofs of concept
• Strong analytical, communication, leadership, and collaborative skills, with the ability to balance detailed analysis and big-picture thinking

This is a hybrid remote position.  A reasonable driving commute (1-2 hours) of the New Bremen, OH location is necessary.  Relocation assistance is available.