Brazil - Remote: AI Agent Architect - Industrial AI Systems (Rio de Janeiro, RJ, BR, 291941)

Halliburton
Rio de Janeiro
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["LangChain","AutoGen","CrewAI","Python","LLM","NLP","APIs","Cloud","Docker"]

Lead hands-on design and deployment of multi-agent AI systems for industrial environments, building autonomous agents that solve domain-specific technical queries by interacting with data, APIs, and analytics engines. You will work independently as an IC, leveraging LangChain-style frameworks, NLP, and advanced prompting to deliver reliable, traceable AI outputs in a remote, cross-functional setting.

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FursaFursa
Halliburton
Halliburton
2 months ago

Brazil - Remote: AI Agent Architect - Industrial AI Systems (Rio de Janeiro, RJ, BR, 291941)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Lead hands-on design and deployment of multi-agent AI systems for industrial environments, building autonomous agents that solve domain-specific technical queries by interacting with data, APIs, and analytics engines. You will work independently as an IC, leveraging LangChain-style frameworks, NLP, and advanced prompting to deliver reliable, traceable AI outputs in a remote, cross-functional setting.
Location: Rio de Janeiro
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

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.

Key Requirements

  • •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.
Experience:Oil and gas
Skills:LangChainAutoGenCrewAIPythonLLMNLPAPIsCloudDocker
Certifications:Azure AI EngineerAzure Data Engineer
Languages:English
Tech Stack:LangChainAutoGenCrewAIPythonLLMNLPAPIsDockerAzureAWS

Company Brief

Halliburton
Provides oilfield services and products to the energy industry, including drilling, evaluation, completion, production and well intervention technologies, as well as engineering and project management solutions for oil and gas operators worldwide.
Industry: Energy Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Houston, United States
Founded: 1919
WebsiteLinkedIn