





Senior, niche GenAI role reduces applicants but AI demand keeps competition moderate.
Requires specialized GenAI/LLM engineering experience, limiting cross-industry transferability.
Explicit 8–10 years requirement, leadership responsibility, and specialist GenAI skills make filters strict.
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Lead architecture and delivery of GenAI systems integrating LLMs, multi-agent workflows, and embedding-based retrieval.
Guide cross-functional teams and define engineering standards to produce scalable, production-grade AI applications.
Manage and lead a team of associates with functional and administrative responsibilities.
Degree required.
8-10 years of relevant work experience.
Experience with GenAI systems, LLMs, and embedding retrieval technologies.
Reporting typically to AI Engineering Manager.
Experienced in leading cross-functional engineering teams in AI-related projects.
Strong background in developing scalable, production-level intelligent applications using GenAI technologies.
Capable of setting engineering standards and driving innovation in AI system architecture.