2 months ago

Agentic AI Engineer (Senior - Principal - Advisor) - Drill Bits and Service (Conroe, TX, US, 77385)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Design and deliver agentic AI systems at the intersection of data science, software engineering, and drilling operations. Lead end-to-end development from prototype to production, integrate with enterprise data sources and APIs, and apply human-in-the-loop controls to enable automated, risk-aware workflows in DBS.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, architect, and implement agentic AI systems using appropriate orchestration patterns, frameworks, LLM integrations, and tooling to support complex, risk aware workflows.
•Own end to end delivery from prototype to production, ensuring strong data grounding, reliability, human in the loop controls, escalation paths, and graceful failure behavior in live systems.
•Integrate agentic systems with enterprise data sources, internal APIs, and third party tools in compliance with security, privacy, and data governance policies.
•Identify opportunities to automate workflows and enhance decision-making using AI-driven approaches.
•Partner with process owners, domain experts, and governance teams to translate business problems into trusted, usable AI solutions.

Key Requirements

•Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or related STEM discipline.
•4+ years of experience in software or related domain.
•2+ years specialized in AI/ML, LLM solutions, and hands-on development of agentic systems and autonomous workflows.
•Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent orchestration frameworks (e.g., LangGraph or equivalent).
•Experience in deploying and operating LLM/agent workflows in production, including monitoring and evaluation.

Education:Bachelor's

Skills:Problem-solvingCommunicationCross-functional collaborationTechnical communication

Languages:English

Tech Stack:PythonREST APIsLangGraphLangChainLangSmithDataBricksAzureAzure AI FoundryRAG pipelines

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

2 months ago

Agentic AI Engineer (Senior - Principal - Advisor) - Drill Bits and Service (Conroe, TX, US, 77385)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, architect, and implement agentic AI systems using appropriate orchestration patterns, frameworks, LLM integrations, and tooling to support complex, risk aware workflows.
•Own end to end delivery from prototype to production, ensuring strong data grounding, reliability, human in the loop controls, escalation paths, and graceful failure behavior in live systems.
•Integrate agentic systems with enterprise data sources, internal APIs, and third party tools in compliance with security, privacy, and data governance policies.
•Identify opportunities to automate workflows and enhance decision-making using AI-driven approaches.
•Partner with process owners, domain experts, and governance teams to translate business problems into trusted, usable AI solutions.

Key Requirements

•Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or related STEM discipline.
•4+ years of experience in software or related domain.
•2+ years specialized in AI/ML, LLM solutions, and hands-on development of agentic systems and autonomous workflows.
•Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent orchestration frameworks (e.g., LangGraph or equivalent).
•Experience in deploying and operating LLM/agent workflows in production, including monitoring and evaluation.

Education:Bachelor's

Skills:Problem-solvingCommunicationCross-functional collaborationTechnical communication

Languages:English

Tech Stack:PythonREST APIsLangGraphLangChainLangSmithDataBricksAzureAzure AI FoundryRAG pipelines

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