Manager, Data Scientist
Core
Lead the architecture, design, and implementation of Agentic AI solutions and Multi-Agent Systems to solve complex business and manufacturing challenges through autonomous reasoning, planning, and execution.
Role type
Manager, Data Scientist (Agentic AI & Multi-Agent Systems)
Builds
Scalable enterprise AI platforms, agent orchestration systems, and production-grade autonomous reasoning solutions for semiconductor and display manufacturing.
Domain
Semiconductor manufacturing / Generative AI / Agentic AI
Deliverable
production ML models | product features | infrastructure
Required skills
Generative AI, Agentic AI, Multi-Agent Architectures, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, knowledge graphs, AI orchestration frameworks, Python, cloud-native architectures
Preferred skills
Enterprise-scale AI product delivery, Azure AI, Databricks, OpenAI, LangGraph, Semantic Kernel, CrewAI, AutoGen, prompt engineering, model optimization
Technologies
Azure AI, Databricks, Python, vector databases, graph databases, LangGraph, AutoGen, CrewAI, Semantic Kernel, OpenAI Agents, Azure AI Foundry
Responsibilities
Lead architecture and implementation of Agentic AI solutions; Drive development of AI agents using modern frameworks; Serve as hands-on technical leader for scalable AI platforms; Collaborate with stakeholders to identify high-value AI use cases; Establish AI engineering best practices and governance; Mentor AI engineers and data scientists.
Seniority
Manager, hands-on technical leader with strategic influence
