Halliburton

1 month ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

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

Website LinkedIn

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Halliburton

1 month ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

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

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

Website LinkedIn