Worthington Enterprises is hiring a hands-on AI Engineer for a hybrid role in Columbus, OH. This position focuses on building and deploying AI-powered applications, agents, predictive models, and intelligent workflows using governed enterprise data and Snowflake-native capabilities.
Responsibilities
- Design, build, deploy, and improve AI applications including enterprise agents, retrieval-augmented generation (RAG), natural-language analytics, predictive models, and workflow automations.
- Build Snowflake-native AI and ML solutions using capabilities such as Cortex Agents, Cortex Search, semantic views and structured-data tools, Cortex AI functions, Snowpark, Model Registry, and Feature Store where appropriate.
- Engineer retrieval and context pipelines for structured and unstructured data, including ingestion, chunking, metadata, hybrid search, citations, permissions, and freshness.
- Create reliable agentic workflows using n8n or comparable orchestration platforms, incorporating tool calling, human approval, retries, idempotency, secrets management, auditability, and exception handling.
- Develop secure integrations with Microsoft 365, SharePoint, Teams, enterprise APIs, databases, file sources, and Model Context Protocol (MCP) tools.
- Establish evaluation and monitoring practices for answer quality, task completion, drift, safety, latency, cost, adoption, and business value.
- Apply software engineering practices including modular design, automated testing, code review, Git-based delivery, CI/CD, documentation, and production support.
- Collaborate with business teams to frame opportunities, prototype quickly, convert ambiguity into a delivery plan, and support adoption of useful, trusted solutions.
- Contribute reusable patterns, standards, and guardrails that help other teams and AI Champions build responsibly.
- Continuously evaluate new models and capabilities to separate durable value from short-lived hype.
Requirements
- Bachelor’s degree in computer science, data science, engineering, information systems, or a related field, or equivalent practical experience.
- Typically 3–5 years of relevant experience in AI/ML engineering, software engineering, data engineering, or data science, including evidence of delivering at least one AI-enabled solution beyond a one-off prototype.
- Strong Python and SQL skills, plus experience with APIs, source control, testing, and maintainable application or pipeline development.
- Hands-on experience with one or more of the following: LLM applications, RAG, tool-using agents, natural-language analytics, ML pipelines, or intelligent automation.
- Understanding of data modeling, identity and access control, privacy, secure development, and responsible AI principles.
- Ability to evaluate AI system quality systematically and diagnose failure modes rather than relying on anecdotal testing.
- Strong collaboration and communication skills, including the ability to explain tradeoffs to technical and business partners.
Technologies
AI, Python, SQL, Snowflake, Cortex Agents, Cortex Search, semantic views, structured-data tools, Cortex AI functions, Snowpark, Model Registry, Feature Store, n8n, Model Context Protocol (MCP), Microsoft 365, SharePoint, Teams, Git, CI/CD, MLOps, LLMOps, Docker, MLflow, Workato, LangGraph, Semantic Kernel, Alation
Preferred Qualifications
- Snowflake AI/ML experience, especially Cortex Agents, Cortex Search, semantic views, Snowpark, Model Registry, Feature Store, or related capabilities.
- n8n or comparable workflow/agent orchestration experience such as Workato, LangGraph, Semantic Kernel, or similar tools.
- MCP, function/tool calling, structured outputs, event-driven integrations, containers, serverless services, or cloud application delivery.
- LLMOps/MLOps practices, evaluation frameworks, observability, model/prompt versioning, Docker, CI/CD, or MLflow.
- Enterprise knowledge and productivity integrations involving Microsoft 365, SharePoint, Teams, or governed data catalogs such as Alation.
- Experience applying AI in manufacturing, supply chain, finance, operations, or another industrial domain.
Location and Work Schedule
This hybrid role is based in Columbus, Ohio and requires 2 to 3 days per week on-site.
- Occasional travel, approximately 10%, to corporate and manufacturing locations may be required.
- This position is not eligible for relocation assistance or U.S. work sponsorship.
Benefits
- Health, dental, and vision insurance starting on the first day, including employer HSA contribution.
- On-site medical center, pharmacy, barbershop, and fitness center.
- 401(k) match plus employer contribution.
- Employee Assistance Program.
- Flexible work schedule.
- Quarterly profit sharing, with no cap.
Team and Collaboration Context
You will join the Corporate IT - Data, Analytics & AI team and partner with data engineering, analytics, architecture, security, infrastructure, and business functions.
