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Known analytics brand, popular Data Scientist title, metro location, and broad GenAI skillset increase candidate competition.
Specialized GenAI, LLM orchestration, and enterprise deployment demand strong ML/AI domain experience.
Multiple mandatory GenAI, LLM, production, governance, and evaluation requirements enforce strict filtering.
Lead design-to-execution of enterprise-grade GenAI and agentic decisioning products with multi-agent GenAI workflows.
Translate business questions into scalable, governed AI solutions involving decision automation, copilots, and chatbots.
Ensure production-ready delivery with strong governance, observability, quality control, and client engagement.
Strong experience with GenAI, LLMs, and multi-agent system architectures.
Hands-on expertise in RAG, prompt engineering, and LLM orchestration frameworks.
Experience building enterprise-scale AI applications like chatbots, copilots, or automation agents.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in AI architecture, agent orchestration, and analytical execution for scalable AI product delivery.
Proven client-facing skills and ability to lead, mentor and coordinate cross-functional teams.
Strong background in evaluation frameworks, observability, and responsible AI practices in production environments.