An ideal fit for this role would be someone who has experience in Data Engineering and transitioned to design and build advanced data science and AI solutions across the enterprise. This role operates at the intersection of data science, data engineering and AI engineering, driving high‑impact use cases in machine learning, and Generative AI while ensuring responsible, secure, and scalable adoption.
This is a hands‑on individual contributor role with broad influence across teams, platforms, and leadership stakeholders.
Key Responsibilities:
AI & Advanced Analytics Enablement
Drive adoption of Generative AI and LLM‑based solutions , including RAG patterns, semantic search, intelligent automation, and agent‑based workflows
Lead the design and development of advanced data science solutions , including predictive models, optimization techniques, and AI‑driven insights
Define best practices for model selection, feature engineering, evaluation, and interpretability across e...