AI Architect

Cooper StandardNorthville, MI
7dHybrid

About The Position

We are seeking a highly skilled and visionary AI Architect to lead the design, development, and deployment of enterprise-wide artificial intelligence solutions. This role requires both deep technical expertise in AI/ML and leadership skills to guide teams, influence stakeholders, and shape the long-term AI roadmap. The ideal candidate is a hands-on architect with a proven track record of delivering production-grade AI systems, combined with the ability to mentor teams and align initiatives with business objectives.

Requirements

  • Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Business or related field.
  • 6+ years of experience in AI/ML development, with at least 3+ years in an architect or managerial leadership role.
  • Proven expertise in deep learning, natural language processing, computer vision, and/or reinforcement learning.
  • Strong proficiency with Microsoft AI software platform and data engineering technologies.
  • Experience with cloud AI platforms (AWS, Azure, GCP, or Palantir Foundry).
  • Strong understanding of MLOps pipelines, CI/CD, model monitoring, and data governance.
  • Excellent leadership, communication, and stakeholder management skills.
  • Experience deploying AI solutions at enterprise scale with measurable business impact.

Nice To Haves

  • Background in enterprise manufacturing, automotive, or industrial sectors.
  • Familiarity with ERP, MES platforms, or other large-scale enterprise systems.
  • Understanding of AI security, compliance, and ethical frameworks.
  • Track record of publishing, patenting, or presenting thought leadership in AI.

Responsibilities

  • AI Roadmap: Define and drive the enterprise AI architecture and technology roadmap aligned with business priorities.
  • Solution Design & Architecture: Architect scalable, secure, and explainable AI solutions across cloud, edge, environments.
  • Technical Leadership: Lead cross-functional teams of data scientists, ML engineers, and software developers to deliver high-impact AI initiatives.
  • Integration & Platforms: Oversee integration of AI solutions with existing enterprise systems (ERP, MES, PLM, CRM, data lakes, etc.).
  • Governance & Standards: Establish best practices for model lifecycle management, data quality, compliance, and AI ethics.
  • Stakeholder Engagement: Act as a trusted advisor to business leaders, and IT teams on AI adoption and ROI.
  • Innovation: Evaluate emerging AI technologies (LLMs, agentic AI, computer vision, decision intelligence, etc.) and drive their enterprise applicability.
  • Mentorship: Build internal AI capabilities through coaching, training, and developing best practices across the organization.

Benefits

  • Opportunity to architect cutting-edge AI systems with real-world impact.
  • Collaborative environment with senior business and technology stakeholders.
  • Competitive compensation, performance incentives, and career growth opportunities.
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