Agentic AI Engineer (senior - Principal - Advisor) - Drill Bits And Service
Halliburton
Oak Ridge North, TX (In Person)
Full-Time
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Job Description
- 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).
United States Job Details Requisition Number:
208299Experience Level:
Experienced Hire Job Family:
Engineering/Science/Technology Product Service Line:
Drill Bits and Service Full Time /Part Time:
Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.Similar remote jobs
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