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AI Engineer

Worthington Enterprises Columbus, OH

Columbus, OH

Today

Full time Agent Automation Ai Engineer Artificial Intelligence

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Job Description

Worthington Enterprises is building practical, measurable AI capabilities across the enterprise and is hiring a hands-on AI Engineer for a hybrid role in Columbus, OH. In this position, you will turn governed enterprise data into reliable AI-powered applications, predictive models, and intelligent workflows, using Snowflake and modern orchestration and integration patterns.

What you’ll do

Design, build, deploy, and improve AI applications such as enterprise agents, retrieval-augmented generation (RAG), natural-language analytics, predictive models, and workflow automations.
Develop Snowflake-native AI and ML solutions using capabilities including 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.
Build reliable agentic workflows in n8n or comparable orchestration platforms, with tool calling, human approval, retries, idempotency, secrets management, auditability, and exception handling.
Create secure integrations with Microsoft 365, SharePoint, Teams, enterprise APIs, databases, file sources, and Model Context Protocol (MCP) tools.
Set up evaluation and monitoring for answer quality, task completion, drift, safety, latency, cost, adoption, and business value.
Apply software engineering practices such as modular design, automated testing, code review, Git-based delivery, CI/CD, documentation, and production support.
Partner with business teams to frame opportunities, prototype quickly, translate ambiguity into a delivery plan, and support adoption of trusted solutions.
Contribute reusable patterns, standards, and guardrails so other teams and AI Champions can build responsibly.
Continuously assess new models and capabilities, focusing on durable value rather than short-lived hype.

What you’ll need

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 proof 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: 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 instead of relying on anecdotal testing.
Strong collaboration and communication skills, including explaining tradeoffs to technical and business partners.

Technologies you may work with

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

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.

Location and work requirements

Hybrid role based in Columbus, Ohio, requiring 2 to 3 days per week on-site.
Occasional travel of approximately 10% to corporate and manufacturing locations may be required.
This position is not eligible for relocation assistance or U.S. work sponsorship.

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.

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