AI Engineer

Worthington Enterprises is hiring an AI Engineer to turn governed enterprise data into practical AI-powered applications, agents, predictive models, and workflows. The role builds and deploys enterprise AI solutions, establishes reusable patterns and evaluation practices, and partners with business and technical teams to improve operations and decision-making.

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 in 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

Partner with business teams to frame opportunities, prototype quickly, translate ambiguity into a delivery plan, and guide adoption of solutions that are useful and trusted

Contribute reusable patterns, standards, and guardrails that help other teams and AI Champions build responsibly

Continuously evaluate new models and capabilities, separating durable value from short-lived hype

Preferred

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

Snowflake AI/ML

Cortex Agents

Cortex Search

Semantic Views

Snowpark

Model Registry

Feature Store

Workflow Orchestration

Agent Orchestration

n8n

Workato

LangGraph

Semantic Kernel

MCP

Function Calling

Tool Calling

Structured Outputs

Event-Driven Integrations

Containers

Serverless Services

Cloud Application Delivery

LLMOps

MLOps

Evaluation Frameworks

Observability

Model Versioning

Prompt Versioning

Docker

CI/CD

MLflow

Microsoft 365 Integration

SharePoint Integration

Teams Integration

Governed Data Catalogs

Alation

AI Applications

Manufacturing Domain

Supply Chain Domain

Finance Domain

Operations Domain

Industrial Domain

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.

Hybrid role based in Columbus, Ohio, requiring 2 to 3 days per week on-site.

Company

Tech career marketplace connecting professionals with recruiters

Centennial, Colorado, USA

https://www.or-quest.nl/

Founded in 1990

201-500 employees

Qualifications

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 both technical and business partners

This position is not eligible for U.S. work sponsorship

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

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.

Required skills

Python, SQL, API Development, LLM Applications, Retrieval-Augmented Generation (RAG), Machine Learning Pipelines, Intelligent Automation, Data Modeling, Identity and Access Control, Data Privacy, AI System Evaluation, Snowflake

Experience

3-5 years