AI Governance Architect for Enterprise Solutions

Martinrea International

Auburn Hills (MI)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Competitive salary

Bonus opportunity

401(k) with company match

Paid vacation and holidays

Career growth opportunities

Job summary

Martinrea International Inc. is seeking a strategic and hands-on IT Lead - AI Management to lead the implementation and execution of an AI management framework across our global manufacturing organization.

This role partners with Legal, IT/Cybersecurity, Compliance, and HR to ensure responsible AI adoption. The ideal candidate has deep experience in Generative AI, MLOps, data governance, and enterprise architecture, with a track record of delivering governance frameworks and AI platforms in

Qualifications

Bachelor's degree in IT or Computer Science or related field.
Experience building and leading AI governance teams, promoting collaboration, innovation, accountability, and continuous improvement while delivering business value.
5+ years designing, implementing, and operating AI governance frameworks, AI platforms, or enterprise architecture solutions.
Deep understanding of Generative AI & LLM ecosystems, RAG architecture and MLOps lifecycle.
Strong understanding of risk management, compliance, and data governance and 3rd party / vendor risk management.
5+ years of experience with Data Architecture and Data Pipelines.
Automotive industry experience strongly preferred.

Responsibilities

Own and lead enterprise AI governance across all business units, coordinating with Legal, IT/Cybersecurity, Compliance, and HR.
Design, implement, and operate the enterprise AI governance model (policies, standards, controls, decision frameworks).
Establish AI usage standards, architecture guardrails, approval workflows and lifecycle governance.
Translate AI management framework into operational processes and tools.
Monitor AI usage, risk exposure and policy adherence.
Govern enterprise AI platforms, tools, and vendors, including lifecycle management, licensing, and approved tool strategy.
Act as the technical translator between architects and executive leadership, clearly explaining AI architecture, risks, and trade-offs.
Guide business units in selecting and implementing appropriate AI solutions aligned with governance standards.
Define architectural standards and communicate them to technical and non-technical groups.
Develop AI based training programs for business and technical users to drive awareness and responsible usage.
Track AI adoption, value realization, and cost, and provide executive-level reporting and decision support.