Advanced Analytics Research Scientist - Industrial Agentic AI
About The Position
We are looking for an AI engineer/scientist to help build the next generation of industrial agentic AI systems that transform how engineers design, operate, debug, and optimize automation systems. You will sit at the intersection of large language models, autonomous agents, industrial control systems, and real-world operational intelligence. You will work on advanced AI systems capable of reasoning over software workflows, using engineering tools, learning from operational outcomes, and assisting users across the lifecycle of industrial automation applications. This is not a conventional enterprise AI role. You will help shape foundational AI capabilities for the future of industrial operations — where AI systems move from passive assistants to collaborators operating in complex real-world situation. You will work on frontier problems involving reasoning, autonomy, learning, optimization, and human-machine collaboration at industrial scale.
Requirements
- Bachelor's Degree in Relevant Field
- Software engineering skills in Python and modern AI ecosystems
- Work across disciplines and translate research concepts into deployable systems
- Curiosity, creativity, and a desire to build AI systems that interact with the physical world
Nice To Haves
- Typically requires minimum 5 years relevant experience
- Generative AI / LLMs
- Agentic AI systems
- Reinforcement learning
- Machine learning systems engineering
- Industrial AI or cyber-physical systems
- Experience building AI-enabled applications using modern frameworks and tooling
- Familiarity with orchestration frameworks, tool-use architectures, memory systems, or autonomous AI workflows
- Industrial automation, robotics, or control systems
- Digital twins and simulation environments
- Time-series analytics and operational optimization
- Edge AI deployment
- Human-AI collaboration systems
- Multi-agent architectures
- Vision-language or multimodal models
Responsibilities
- Develop agentic AI systems that assist with: Industrial software usage and workflow automation, Application development and code generation, Debugging and root-cause analysis, Operational optimization and decision support
- Build AI systems that can interact with engineering tools, automation platforms, digital twins, historians, and operational data sources
- Design architectures that combine: Large language models (LLMs), Tool-using AI agents, Retrieval and memory systems, Reinforcement and adaptive learning approaches, Multi-modal reasoning over text, code, logs, alarms, and operational signals
- Enable AI systems to learn from real-world interactions, operator feedback, and system outcomes
- Collaborate with domain experts in automation, controls, robotics, and industrial operations to bring advanced AI capabilities into production environments
Benefits
- Health Insurance including Medical, Dental and Vision
- 401k
- Paid Time off
- Parental and Caregiver Leave
- Flexible Work Schedule
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What This Job Offers
Job Type
Full-time
Career Level
Senior
