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HomeCompaniesJobs Halliburton ComBrazil - Remote: AI Agent Architect - Industrial AI Systems

Brazil - Remote: AI Agent Architect - Industrial AI Systems

Jobs Halliburton Com · Rio de Janeiro, RJ, BR, 291941 · Remote · Active · SAP SuccessFactors RMK / CSB

Job facts

FieldValue
CompanyJobs Halliburton Com
TitleBrazil - Remote: AI Agent Architect - Industrial AI Systems
Normalized title-
Department / team-
LocationWe are looking for the right people — people who want to innovate, Canada
Work modelRemote / Remote
Employment type-
Salary-
Statusactive
ATS providerSAP SuccessFactors RMK / CSB
Posted / first seen2026-06-18 / 2026-06-19
Changed / last seen2026-06-19 / 2026-06-20

Related slices

PageWhat it containsOpen
Company jobsActive postings from Jobs Halliburton Com.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through SAP SuccessFactors RMK / CSB.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in We are looking for the right people — people who want to innovate.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyJobs Halliburton Com
Sourcec8789b92-6fc5-4826-ae6b-bf95633b7b56
ATS providerSAP SuccessFactors RMK / CSB

Description

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.

Full job record

Job ID48f07ede8359ea4997df82202557f657f4264698
Org ID4a8d637d-377d-4a1b-9a5d-c701be1285b7
Source IDc8789b92-6fc5-4826-ae6b-bf95633b7b56
Board IDc8789b92-6fc5-4826-ae6b-bf95633b7b56
Providersuccessfactors_rmk
Provider Job Key1401279700
TitleBrazil - Remote: AI Agent Architect - Industrial AI Systems
Normalized Title
Statusactive
Activeyes
Location TextRio de Janeiro, RJ, BR, 291941
Department
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryCanada
Region
CityWe are looking for the right people — people who want to innovate
Salary RawWe 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.
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.halliburton.com/job/Rio-de-Janeiro-Brazil-Remote-AI-Agent-Architect-Industrial-AI-Systems-RJ-291941/1401279700/
Apply URL/talentcommunity/apply/1401279700/?locale=en_US
First Seen At2026-06-19 14:25:59Z
Last Seen At2026-06-20 14:31:26Z
Last Checked At2026-06-20 14:31:26Z
Last Changed At2026-06-19 14:25:59Z
Inactive At
Source Posted At2026-06-18 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=successfactors_rmk/board=jobs.halliburton.com/date=2026-06-20/2026-06-20T14-30-55-958Z-f92ceaed21ac923de6f11ec9035769478b0a34a34941a82f88b26bf4e9b8ca70.json
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