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.
Contribute to development of data science and AI strategy within DBS.
Evaluate emerging technologies in Gen AI and recommend adoption to improve capabilities.
Support intellectual property development, including publications and patents.
Participate in industry forums, conferences, and technical communities. Qualifications Required
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.
Experience with Azure AI Foundry or comparable platforms for agent development, deployment, evaluation, and safety controls.
Working knowledge of Azure based cloud environment and Databricks.
Ability to work independently and deliver end-to-end solutions.
Self-directed learner with strong problem-solving skills and practical business judgment. Preferred
Master's degree or higher in a STEM field.
Exposure to drilling, oil & gas, or industrial data environments.
Experience collaborating with cross-functional teams (engineering, product, operations).

Candidates who exceed minimum job requirements may be considered for higher-level roles depending on experience, additional qualifications, and business needs. Opportunities include advancement from Data Science Engineer Senior - Data Science Engineer Principal - Data Science Engineer Advisor . World Class Benefits At Halliburton, we're committed to supporting you and your family with a comprehensive and affordable benefits package that covers your physical, emotional, financial, and parental needs — now and in the future. When you join our team, you'll gain access to a wide range of programs designed to help you thrive at work and at home. Click here to review a summary of the benefits available once you join. Core Competencies Agentic AI Development | LLM & Autonomous Systems | Agentic orchestration | RAG pipelines | LangGraph | LangChain | LangSmith | DataBricks | Azure | Azure AI Foundry | Data Analysis & Problem Solving | Cross-Functional Collaboration | Innovation & Continuous Improvement | Technical Communication | Domain Integration (Drilling & Operations) 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 16548 Donwick Drive, Conroe, Texas, 77385,

United States Job Details Requisition Number:

208299

Experience Level:

Experienced Hire Job Family:

Engineering/Science/Technology Product Service Line:

Drill Bits and Service Full Time /

Part Time:

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Agentic AI Engineer (senior - Principal - Advisor) - Drill Bits And Service