Enterprise Architect (AI)

Location: Remote within the United States; 20% expected travel.

Company

An advanced end-to-end manufacturing platform that takes products from concept to full-scale production across aerospace and defense, electrification, medical, energy and environment, and robotics and automation.

What you will do

• Define, govern, and communicate enterprise architecture across business, data, application, and technology/platform domains.
• Establish capability maps, value streams, process models, data principles, domain models, integration patterns, governance frameworks, and quality standards.
• Design scalable application, data, cloud, infrastructure, integration, and hybrid/multi-cloud architectures using API-first, AI-native, cloud-native, event-driven, reusable component, and microservices patterns.
• Establish architecture policies, standards, reference architectures, roadmaps, guardrails, review boards, and initiative checkpoints; guide build-versus-buy decisions, risk trade-offs, and technical debt management.
• Embed zero-trust, security-by-design, privacy, auditability, regulatory requirements, threat modeling, resilience, continuity, disaster recovery, reliability, and supply-chain security.
• Lead modernization, application portfolio rationalization, implementation planning, delivery guidance, execution optimization, post-implementation validation, leadership advising, and mentoring.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. An advanced degree is preferred.
• 10+ years of progressively responsible experience in enterprise, solution, data, application, or platform architecture.
• Pragmatic application of enterprise architecture frameworks such as TOGAF or Zachman.
• Solid understanding of business systems including ERP, MES, CAD, PLM, and QMS; cloud platforms, distributed systems, integration frameworks, and modern application design.
• Strong understanding of AI/ML, data architectures, and modern security frameworks, including responsible AI, model governance, bias monitoring, explainability, and auditability.
• Consistent track record of leading and realizing large-scale transformation or modernization initiatives with measurable outcomes.
• Outstanding communication, facilitation, and collaborative leadership skills across corporate and technology audiences.

Nice to have

• Experience with multi-cloud or hybrid architectures.
• Exposure to product-centric operating models, focused build approaches, and platform engineering.
• Experience in regulated government or global enterprise environments.
• Experience in manufacturing environments and processes.
• Familiarity with Lean manufacturing processes.

Culture & Benefits

• Remote work with 20% expected travel.
• Medical, dental, vision, retirement, paid time off, and other benefits.
• Eligibility for annual incentive compensation and/or long-term incentives subject to company plans.
• Employee ownership and participation in financial rewards based on company success.
• Commitment to transparency, shared problem-solving, continuous improvement, equal employment opportunity, and reasonable accommodations.