AI Agent Architect

As an AI Agent Architect at our company, you will play a crucial role in designing and deploying advanced Agentic AI systems to support complex technical decision-making in industrial environments. Your responsibilities will include: - Architecting and developing a multi-agent AI framework for solving domain-specific technical queries - Leveraging LLMs, NLP, and tool-based reasoning to automate data extraction, analysis, and insight generation - Building agents that can integrate with engineering tools, simulators, databases, and knowledge sources - Collaborating with domain experts to align agent behavior with technical expectations and constraints - Implementing safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs - Continuously optimizing prompting, agent orchestration, and performance under real-world conditions Skills Required: - 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 skills 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 Nice to have skills: - Exposure to industrial domains such as energy, manufacturing, or heavy engineering - Understanding of vector databases, knowledge graphs, and retrieval-augmented generation - Familiarity with Azure or AWS development environments Certifications: - Azure AI Engineer or Azure Data Engineer certification is a plus - AWS experience is nice to have but not required Industry Experience: - Oil and gas domain experience is advantageous, especially familiarity with digital operations or engineering workflows - Relevant AI system-building experience in other complex industries is also encouraged Note: Ready for a long-term business trip to Kuwait for the first 6-12 months. Please note that this is a Lead position based in Chennai, India. As an AI Agent Architect at our company, you will play a crucial role in designing and deploying advanced Agentic AI systems to support complex technical decision-making in industrial environments. Your responsibilities will include: - Architecting and developing a multi-agent AI framework for solving domain-specific technical queries - Leveraging LLMs, NLP, and tool-based reasoning to automate data extraction, analysis, and insight generation - Building agents that can integrate with engineering tools, simulators, databases, and knowledge sources - Collaborating with domain experts to align agent behavior with technical expectations and constraints - Implementing safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs - Continuously optimizing prompting, agent orchestration, and performance under real-world conditions Skills Required: - 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 skills 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 Nice to have skills: - Exposure to industrial domains such as energy, manufacturing, or heavy engineering - Understanding of vector databases, knowledge graphs, and retrieval-augmented generation - Familiarity with Azure or AWS development environments Certifications: - Azure AI Engineer or Azure Data Engineer certification is a plus - AWS experience is nice to have but not required Industry Experience: - Oil and gas domain experience is advantageous, especially familiarity with digital operations or engineering workflows - Relevant AI system-building experience in other complex industries is also encouraged Note: Ready for a long-term business trip to Kuwait for the first 6-12 months. Please note that this is a Lead position based in Chennai, India.