Remote AI Agent Architect for Industrial Systems

Embedded Shishya; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Halliburton is seeking an AI Agent Architect to design and deploy advanced agentic AI systems for complex technical decision-making in industrial environments. This role focuses on full-stack intelligent agents that interpret natural language queries and generate precise outputs by interacting with structured and unstructured data, APIs, and analytical engines.

Ideal candidates bring hands-on expertise in multi-agent orchestration, LLMs, and tool-based reasoning, with strong Python skills and

Qualifications

• Experience building agentic AI architectures with LangChain, AutoGen or similar stacks.
• Strong background in LLM-based NLP, prompt engineering and context-aware reasoning.
• Advanced Python and deployment of AI workflows in cloud or containerised environments.
• Ability to work with APIs, data models and external toolchains in complex systems.

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 optimise prompting, agent orchestration, and performance under real-world conditions.

Skills

Agentic AI architectures

LangChain

AutoGen

CrewAI

NLP

Prompt engineering

Python

Cloud deployment

APIs integration

Cross-functional work

Job description

Halliburton is seeking an AI Agent Architect to design and deploy advanced agentic AI systems for complex technical decision-making in industrial environments. This role focuses on full-stack intelligent agents that interpret natural language queries and generate precise outputs by interacting with structured and unstructured data, APIs, and analytical engines.

Ideal candidates bring hands-on expertise in multi-agent orchestration, LLMs, and tool-based reasoning, with strong Python skills and