Advanced Analytics Research Scientist - Industrial Agentic AI
Core
Building foundational agentic AI systems that transform how engineers design, operate, debug, and optimize industrial automation systems.
Role type
Senior IC AI engineer/scientist (industrial agentic AI)
Builds
Autonomous AI agents for industrial software workflows, code generation, debugging, and operational optimization
Domain
Industrial automation, cyber-physical systems, and large language models
Deliverable
production ML models
Required skills
Large language models (LLMs), agentic AI systems, reinforcement learning, machine learning systems engineering, Python, software engineering, orchestration frameworks, tool-use architectures, memory systems, multi-modal reasoning
Preferred skills
Industrial AI, digital twins, time-series analytics, edge AI deployment, human-AI collaboration systems, multi-agent architectures, vision-language models
Technologies
Python, LLMs, orchestration frameworks, digital twins, time-series analytics
Responsibilities
Develop agentic AI systems for industrial software usage and workflow automation; Build AI systems that interact with engineering tools and operational data sources; Design architectures combining LLMs, tool-using agents, and adaptive learning; Enable AI systems to learn from real-world interactions and operator feedback; Collaborate with domain experts to bring advanced AI capabilities into production environments
Seniority
Senior, hands-on IC
