Principal Enterprise Architect - Innovation
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Protocol Intelligence
Data-driven signals on your job's competitivenessSpecialized senior AI architecture role lowers applicant density despite metro location and known employer.
Requires deep AI architecture, MLOps, and governance expertise, limiting cross-industry transferability.
Explicit 15+ years, 7+ leadership, and specialized ML/AI/MLOps requirements make shortlisting highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Lead enterprise AI architecture strategy to design scalable, secure, and responsible AI solutions aligned with business objectives.
Establish and maintain AI governance frameworks, oversee AI solution design, data integration, and AI infrastructure including MLOps and cloud platforms.
Mentor architecture and technology teams to build AI literacy and capability, drive enterprise-wide AI adoption and innovation delivering measurable business value.
Minimum Requirements
Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or related field required.
At least 15 years in technology roles with strong AI architecture, machine learning platforms, cloud infrastructure, and enterprise data engineering expertise.
7+ years in leadership roles such as Principal Architect, Chief Architect, with proven success in enterprise AI strategy.
Proficiency in cloud AI/ML services (AWS SageMaker, Azure ML, Google Cloud AI, Databricks), AI governance, MLOps, enterprise data platforms, and AI security/compliance.
Ideal Candidate Profile
Senior leader with deep expertise in enterprise AI architecture, combining strategy, design, governance, and hands-on platform knowledge.
Experienced in leading cross-functional teams responsible for AI solution delivery, infrastructure, and data integration at enterprise scale.
Strong background in establishing responsible AI frameworks, model governance, and compliance aligned with emerging AI trends.