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Senior, niche AI-architecture role in a metro location with a known enterprise employer increases candidate competition moderately.
Requires deep AI architecture, MLOps, and enterprise data engineering expertise, limiting cross-industry transferability.
Explicit 15+ years and 7+ years leadership plus mandated AI, MLOps, and cloud skills create strict screening.
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Lead enterprise AI architecture strategy to design scalable, secure, and responsible AI solutions aligned with business goals.
Drive AI governance, MLOps, data platforms, and cloud infrastructure for organization-wide AI adoption and innovation.
Partner with business and technology leaders to deliver AI-powered intelligent systems and automation that generate measurable business value.
Bachelor’s degree in computer science, IT, Engineering, Data Science, or related field.
15+ years in technology roles with strong expertise in AI architecture, machine learning platforms, cloud infrastructure, and enterprise data engineering.
7+ years in leadership roles such as Principal Architect or Chief Architect with proven success in enterprise AI strategy.
Expertise with AI governance frameworks, cloud AI/ML platforms (AWS, Azure, Google Cloud), MLOps tools, enterprise data platforms, and AI security/compliance.
Experienced leader skilled at shaping and delivering enterprise-wide AI and intelligent systems strategies.
Deep technical expertise in AI architecture, governance, MLOps, cloud infrastructure, and data engineering at scale.
Ability to influence and collaborate with business and technology leaders to integrate AI-driven solutions that improve operations and decision-making.