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Very senior, highly specialised enterprise AI leadership reduces qualified applicant density.
Role requires deep enterprise ML/LLM, MLOps and governance expertise, limiting cross-industry transferability.
Extensive mandatory 15+ years, authority-level MLOps/LLM platform, governance and multi-cloud expertise make filters very strict.
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Set the technical vision, architecture, and multi-year roadmap for enterprise AI and Generative AI platforms.
Architect and lead the development of large-scale ML and LLM systems, including Agentic AI and RAG.
Lead organization-wide AI standards, governance, complex programs, and act as a technical advisor to senior leadership.
15+ years of professional experience in AI, Machine Learning, or software engineering with expertise in architecting and scaling production AI systems.
Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field; advanced degree strongly preferred.
Expert-level Python and software architecture skills with proven delivery of enterprise-scale Generative AI and LLM platforms.
Extensive experience with multi-cloud platforms (Azure, AWS, Google Cloud) and large-scale distributed AI systems.
Demonstrated strategic technical leadership in defining AI architecture, standards, governance, and platform strategy across large organizations.
Deep expertise in advanced AI domains including agentic AI, RAG, MLOps/LLMOps, and responsible AI practices at scale.
Ability to influence senior technical and business leadership and lead high-impact cross-functional AI programs.