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Senior Principal ML role at a known services firm with broad LLM/AI requirements increases competition.
Deep ML/AI and LLM expertise transfers across industries, though HR domain knowledge increases specificity.
Many mandatory ML/AI, LLM, cloud, and leadership requirements enforce strict technical and domain filters.
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Partner with HR leadership and SMEs to identify and prioritize high-impact HR business problems and secure stakeholder buy-in.
Lead end-to-end design and implementation of Agentic AI solutions, including RAG pipelines, multi-agent systems, and LLM-based orchestration on cloud platforms (Azure, AWS).
Manage and mentor a team of data scientists and AI/ML engineers, ensuring on-time delivery and adherence to best practices.
Bachelor's degree in Business Analytics, Computer Science, Statistics, or Master's in Data Science.
Proficiency in AI/ML technologies including RAG pipelines, multi-agent systems, LLM orchestration, and cloud deployment (Azure, AWS).
Experience leading teams and delivering AI solutions end-to-end.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in strategic leadership of AI-driven HR transformation projects involving senior stakeholder management.
Strong technical background in Machine Learning, Generative AI, AutoML, and cloud platforms with hands-on delivery.
Ability to bridge business and technical domains by translating complex HR challenges into scalable AI solutions.