AI Agent Architect - Industrial AI Systems

Halliburton
Bengaluru
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Collaboration","Independent work"]

Design and deploy agentic AI systems for industrial technical decision-making as a high-impact individual contributor. Architect multi-agent frameworks where autonomous tools coordinate to answer domain-specific queries, using LLMs, NLP, and tool-based reasoning to automate extraction, analysis, and insight generation. Build agents that integrate with engineering tools, simulators, databases, and knowledge sources, while implementing safeguards for accuracy, traceability, and reliable performance.

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FursaFursa
Halliburton
Halliburton
1 month ago

AI Agent Architect - Industrial AI Systems

✓ 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

Design and deploy agentic AI systems for industrial technical decision-making as a high-impact individual contributor. Architect multi-agent frameworks where autonomous tools coordinate to answer domain-specific queries, using LLMs, NLP, and tool-based reasoning to automate extraction, analysis, and insight generation. Build agents that integrate with engineering tools, simulators, databases, and knowledge sources, while implementing safeguards for accuracy, traceability, and reliable performance.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Architect and develop multi-agent AI frameworks where autonomous agents coordinate to solve domain-specific technical queries.
  • •Leverage LLMs and NLP with tool-based reasoning to automate data extraction, analysis, and insight generation.
  • •Build agents that integrate with engineering tools, simulators, databases, and knowledge sources.
  • •Collaborate with domain experts to align agent behavior with technical expectations and constraints.
  • •Implement safeguards for accuracy, traceability, and reliability, and continuously optimize prompting and orchestration performance.

Key Requirements

  • •Demonstrated expertise in building agentic AI architectures, including multi-agent frameworks using tools such as LangChain, AutoGen, CrewAI, or custom stacks.
  • •Strong foundation in LLM-based NLP, prompt engineering, and context-aware reasoning for accurate, context-aware outputs.
  • •Advanced Python programming and experience deploying AI workflows in cloud or containerized environments.
  • •Ability to integrate with APIs, data models, and external toolchains across complex systems.
  • •Comfort working independently with minimal supervision in a cross-functional environment.
Experience:Industrial AIOil and gas
Skills:CollaborationIndependent work
Certifications:Azure AI EngineerAzure Data Engineer
Tech Stack:LangChainAutoGenCrewAIPythonLLMsNLPPrompt engineeringAPIsCloudContainersVector databasesKnowledge graphsRetrieval-augmented generationAzureAWS

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