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Senior, specialized ML/GenAI role at a recognized employer in a metro yields moderate applicant competition.
Deep ML/GenAI architecture and specialized tooling requirements limit easy cross-industry transfers.
Explicit 15+ years and mandatory GenAI tooling and deep ML/NLP expertise make filters highly strict.
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Define and implement best practices for integrating AI/GenAI solutions in enterprise architecture.
Architect scalable and efficient AI models specifically for software engineering use cases.
Lead thought leadership via white papers, technical discussions, and innovation forums.
15+ years overall professional experience.
Deep expertise in AI/ML/NLP techniques required.
Hands-on experience integrating and deploying GenAI models with vector databases and AI knowledge management.
Mandatory skills include Langchain, Semantic Kernel, Haystack, and Llama Index.
Experienced in deploying AI orchestration tools such as Langchain, Semantic Kernel, Haystack, and Llama Index.
Strong research ability to innovate and keep up with emerging AI trends.
Familiarity with Enterprise Architecture or Digital Application Architecture is a plus.