巴西 - 远程：AI代理架构师 - 工业AI系统（里约热内卢，RJ）
Brazil - Remote: AI Agent Architect - Industrial AI Systems (Rio de Janeiro, RJ,
我们寻找合适的人——那些希望创新、成就、成长和领导的人。我们通过投资员工并赋予他们自我发展和职业发展的能力，吸引并留住最优秀的人才。体验在全球最大的能源行业产品和服务提供商之一工作的挑战、回报和机会。
职位描述：
我们正在寻找一位动手能力强且具备资质的AI代理架构师，负责设计和部署先进的代理AI系统——由一个主代理管理的任务专用自主工具组成，以支持工业环境中的复杂技术决策。
这是一个高影响力的个人贡献者角色，适合能够独立交付全栈智能代理的人才，这些代理可以通过与结构化和非结构化数据、API和分析引擎交互，理解自然语言查询并生成精确、上下文感知的输出。
主要职责：
- 架构并开发一个多代理AI框架，其中自主代理协作解决特定领域的技术问题。
- 利用大语言模型（LLM）、自然语言处理（NLP）和基于工具的推理来自动化数据提取、分析和洞察生成。
- 构建能够与工程工具、模拟器、数据库和知识源集成的代理。
- 与领域专家合作，确保代理行为符合技术期望和约束。
- 实现保障措施，确保AI生成输出的准确性、可追溯性和可靠性。
- 在真实环境下持续优化提示词、代理编排和性能。
所需技能和经验：
- 在构建代理AI架构方面有实际经验，使用过LangChain、AutoGen、CrewAI或自定义堆栈等框架。
- 在基于大语言模型的NLP、提示工程和上下文感知推理方面有扎实的基础。
- 高级Python编程能力，并有在云或容器化环境中部署AI工作流的经验。
- 能够在复杂系统中与API、数据模型和外部工具链协作。
- 在跨职能环境中能够独立工作，接受最少的监督。
知识、技能和能力
加分项：
- 有能源、制造或重型工程等工业领域的经验。
- 了解向量数据库、知识图谱和检索增强生成。
- 熟悉Azure或AWS开发环境。
认证：
- Azure AI工程师或Az
查看英文原文
We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop 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 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.
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.
Knowledge, Skills, and Abilities
Nice to Have:
- 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.
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 origin, 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 Information
Compensation is competitive and commensurate with experience.
Originally posted on Himalayas