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AI & Automation Engineer Eunice Energy Group
Job in
Eunice, St. Landry Parish, Louisiana, 70535, USA
Listed on 2025-12-07
Listing for:
Eunice Group
Full Time
position Listed on 2025-12-07
Job specializations:
-
IT/Tech
AI Engineer, Systems Engineer
Job Description & How to Apply Below
AI & Automation Engineer Role Overview
The AI & Automation Engineer will scale AI-driven automation across EUNICE’s enterprise. This role goes beyond pilots and prototypes—building robust automation frameworks that enhance HR, finance, operations, and compliance processes. Drawing from leading US best practices, the role integrates AI copilots, orchestrators, and automation layers into daily workflows, enabling efficiency, accuracy, and digital transformation at scale.
Key Responsibilities- Automation Design
- Develop enterprise-wide automation solutions using modern AI frameworks and tools.
- Integrate AI copilots into HR, finance, compliance, and operational workflows.
- Ensure automation frameworks are scalable, secure, and maintainable.
- Implementation & Scaling
- Transition automation pilots and proofs-of-concept into full production systems.
- Automate manual-heavy, repetitive processes to increase operational efficiency.
- Deploy monitoring, troubleshooting, and optimization mechanisms for automation systems.
- Collaboration & Enablement
- Work closely with application architects to ensure seamless integration across platforms and systems.
- Collaborate with HR, finance, and operations teams to map automation opportunities and assess business impact.
- Provide training, documentation, and knowledge transfer to ensure organization-wide adoption.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in automation engineering or AI systems.
- Knowledge of AI automation frameworks (e.g., UiPath, Automation Anywhere, Lang Chain, OpenAI APIs).
- Experience with systems integration, including APIs, RPA, and workflow orchestration.
- Strong understanding of enterprise security, governance, and compliance in automation environments.
- Forward-thinking mindset on the use of AI within enterprise environments.
- Strong process optimization and analytical thinking.
- Ability to collaborate effectively with cross-functional teams.
- Continuous learning orientation and adaptability to evolving technologies.
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