AI Architect

2 weeks ago

tumakuru, India beBeeArchitect Full time

Job Title: AI Architect - Complex Systems SpecialistWe are seeking a highly skilled and experienced AI Architect to design, develop and deploy advanced Agentic AI systems that integrate with complex technical environments. As an individual contributor, you will be responsible for creating 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.This is a high-impact role for someone who can work independently with minimal supervision in a cross-functional environment. You will have the opportunity to collaborate with domain experts to align agent behavior with technical expectations and constraints.Key Responsibilities:Design and develop a multi-agent AI framework where autonomous agents coordinate to solve domain-specific technical queries.Leverage Large Language Models (LLMs), Natural Language Processing (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.Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs.Continuously optimize prompting, agent orchestration, and performance under real-world conditions.Mandatory Skills and Qualifications: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.Nice-to-Have Skills and Qualifications:Exposure to industrial domains such as energy, manufacturing, or heavy engineering.Understanding of vector databases, knowledge graphs, and retrieval-augmented generation.Certifications and Industry Experience:Azure AI Engineer or Azure Data Engineer certification is a plus.Oil and gas domain experience is a strong advantage, especially familiarity with digital operations or engineering workflows.

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