AI & Automation Engineer
Libbey•Toledo, OH
•Hybrid
About The Position
The AI & Automation Engineer (Agentic AI), reporting to the Director, Cyber Security & AI, is responsible for assisting in the execution of Libbey’s enterprise AI strategy by designing and delivering AI agents, automation workflows, and AI-powered business solutions across the enterprise (U.S., Canada, Mexico & China).
Requirements
- Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field required
- Approximately 1 year of hands-on experience building AI agents, AI-powered workflows, or automations
- Demonstrated experience with LLM-based solutions and agent frameworks
- Familiarity with automation platforms, APIs, and enterprise systems
- Experience with Enterprise Agentic Design Patterns and Frameworks
- Strong problem-solving skills and ability to learn rapidly in a fast-evolving AI landscape
- Strong communication and documentation skills
- Ability to work effectively in a cross-functional team environment
- Self-motivated with a continuous improvement mindset
Responsibilities
- Design and build AI agents capable of multi-step reasoning, task execution, and tool usage
- Develop AI-driven automation workflows integrated with enterprise platforms such as Microsoft 365, SharePoint, Teams, and Dynamics
- Prototype, test, and deploy LLM-based solutions using prompt engineering and structured reasoning
- Translate Libbey’s AI strategy into practical, scalable solutions
- Identify areas for AI or automation
- Engage with business partners across functions to understand processes, challenges, and opportunities suitable for AI and automation solutions
- Translate business needs and operational processes into actionable AI and automation use cases
- Collaborate with IT, Security, and business stakeholders to identify high-value AI use cases
- Understand data structures, content organization, and metadata requirements necessary to enable effective and accurate AI and automation solutions
- Collaborate with data owners and business stakeholders to ensure data, metadata, and structures are suitable for AI-driven use cases
- Integrate AI solutions with APIs, data sources, and automation platforms
- Document AI workflows, architectures, and lessons learned
- Support AI governance, security, and responsible AI practices
- Participate in AI training, demos, and internal enablement efforts
- Continuously evaluate emerging AI tools, agent frameworks, and automation capabilities
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
