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Senior, highly specialized enterprise AI architect role with niche skills reduces applicant competition.
Role requires deep enterprise AI architecture, governance, and LLMOps expertise, limiting cross-industry transferability.
Explicit 12+ years plus 5+ years AI architecture and specific technical/governance requirements enforce strict filtering.
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Lead design, governance, and integration of enterprise-scale AI, GenAI, and Intelligent Automation solutions across the organization.
Define and own enterprise AI architecture roadmap aligned with business objectives and measurable KPIs such as cost optimization and revenue growth.
Establish AI architectural standards, governance frameworks, vendor evaluation, and mentor delivery teams in building scalable, secure AI-enabled business capabilities.
Bachelor's or Master's degree in Computer Science, AI, Data Science, IT, or related field; PhD is a plus.
Minimum 12 years of enterprise technology architecture or related experience, with 5+ years focused on AI/ML solution architecture and enterprise AI implementations.
Proven experience leading AI or Automation Centers of Excellence and delivering production-grade GenAI or LLM-based enterprise solutions.
Willingness and ability to travel up to 80%, and work occasionally outside normal business hours as required.
Senior-level AI architect with deep expertise in enterprise-scale AI/ML architectures, including Generative AI, LLMs, RAG, and multi-agent orchestration frameworks.
Experienced in AI governance, security, compliance (GDPR, CCPA), AI FinOps, MLOps/LLMOps practices, and cloud AI platforms (AWS, Azure, GCP).
Strategic leader proficient at collaborating across business, development, security, and executive teams to translate business goals into scalable AI solution architectures.