AI Agent Architect - Industrial AI Systems

Key Responsibilities Architect and develop a multi-agent AI framework where autonomous agents coordinate to solve domain-specific technical queries. Leverage LLMs, NLP, and tool-based reasoning to automate data extraction, analysis, and insight generation. Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources. Collaborate with domain experts to align agent behavior with technical expectations and constraints. Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs. Continuously optimize prompting, agent orchestration, and performance under real-world conditions. Required Skills and Experience Demonstrated expertise in building Agentic AI architectures, using frameworks like LangChain, AutoGen, CrewAI, or custom stacks. Strong foundation in LLM-based NLP, prompt engineering, and context-aware reasoning. Advanced Python programming and experience deploying AI workflows in cloud or containerized environments. Ability to work with APIs, data models, and external toolchains across complex systems. Comfortable operating independently with minimal supervision in a cross-functional environment.