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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
| Field | Value |
|---|---|
| Company | Jobs Halliburton Com |
| Title | Brazil - Remote: AI Agent Architect - Industrial AI Systems |
| Normalized title | - |
| Department / team | - |
| Location | We are looking for the right people — people who want to innovate, Canada |
| Work model | Remote / Remote |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | SAP SuccessFactors RMK / CSB |
| Posted / first seen | 2026-06-18 / 2026-06-19 |
| Changed / last seen | 2026-06-19 / 2026-06-20 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Jobs Halliburton Com. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through SAP SuccessFactors RMK / CSB. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in We are looking for the right people — people who want to innovate. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Jobs Halliburton Com |
| Source | c8789b92-6fc5-4826-ae6b-bf95633b7b56 |
| ATS provider | SAP 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 ID | 48f07ede8359ea4997df82202557f657f4264698 |
| Org ID | 4a8d637d-377d-4a1b-9a5d-c701be1285b7 |
| Source ID | c8789b92-6fc5-4826-ae6b-bf95633b7b56 |
| Board ID | c8789b92-6fc5-4826-ae6b-bf95633b7b56 |
| Provider | successfactors_rmk |
| Provider Job Key | 1401279700 |
| Title | Brazil - Remote: AI Agent Architect - Industrial AI Systems |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Rio de Janeiro, RJ, BR, 291941 |
| Department | — |
| Team | — |
| Employment Type | — |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | Canada |
| Region | — |
| City | We are looking for the right people — people who want to innovate |
| Salary Raw | 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. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://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 At | 2026-06-19 14:25:59Z |
| Last Seen At | 2026-06-20 14:31:26Z |
| Last Checked At | 2026-06-20 14:31:26Z |
| Last Changed At | 2026-06-19 14:25:59Z |
| Inactive At | — |
| Source Posted At | 2026-06-18 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://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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