AI Agent Architect

2 days ago

New Delhi, India Luxoft Full time

Project Description:We are seeking a hands-on and qualified AI Agent Architect to design and deploy advanced Agentic AI systems—comprising task-specific autonomous tools governed by a master agent—to support complex technical decision-making in industrial environments.This is a high-impact individual contributor role for someone who can independently deliver full-stack intelligent agents that interpret natural language queries and generate precise, context-aware outputs by interacting with structured and unstructured data, APIs, and analytical engines.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. - business trip to KuwaitMandatory Skills Description:- 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.Nice-to-Have Skills Description:- 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 a strong advantage, especially familiarity with digital operations or engineering workflows. - However, candidates with relevant AI system-building experience in other complex industries are encouraged to apply.

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