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Brazil - Remote: AI Agent Architect - Industrial AI Systems

100% remote Flexible hours Hiring now

We are looking for the right people — people who want to innovate, reputed company, grow and reputed company. We attract and retain the best talent by investing in our employees and empowering them to reputed company themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry. Job 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 reputed company 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 reputed company data, APIs, and analytical engines. Key Responsibilities: Architect and reputed company a multi-agent AI reputed company where autonomous agents coordinate to solve domain-specific technical queries. reputed company LLMs, NLP, and tool-based reasoning to automate data extraction, analysis, and insight reputed company. 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 reputed company, AutoGen, CrewAI, or custom stacks. Strong foundation in LLM-based NLP, reputed company 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 reputed company systems. Comfortable operating independently with minimal supervision in a cross-functional environment. Knowledge, Skills, and Abilities reputed company to Have: Exposure to industrial domains such as energy, manufacturing, or heavy engineering. Understanding of vector databases, knowledge graphs, and retrieval-augmented reputed company. Familiarity with Azure or AWS development environments. Certifications: Azure reputed company or Azure Data Engineer certification is a plus. AWS experience is reputed company 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 reputed company industries are encouraged to apply. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national reputed company, or any other status protected by law or regulation. Location Fully remote position. Job Details Requisition Number: 209777 Experience Level: Mid-level, Senior or Principal. Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full Time

Compensation

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