AI/ML Engineer - W2 Position

Title: AI / ML Engineer Location: Columbus, OH (Hybrid Preferred) POSITION OVERVIEW • The AI / ML Engineer will drive the design, development, and deployment of scalable artificial intelligence and machine learning solutions to support core business initiatives. Sitting within the AI & Data group, this role focuses on building production-ready generative AI tools, cloud AI pipelines, and multi-agent systems tailored for high-impact applications. The engineer will collaborate across cross-functional teams to integrate AI components into existing systems while establishing robust data and platform engineering standards. DAY-TO-DAY RESPONSIBILITIES • Design and implement production-ready application pipelines for cloud and on-premises AI solutions. • Develop generative AI applications incorporating deep learning, neural networks, chatbots, and image processing. • Build, fine-tune, and optimize Large Language Models (LLMs), Foundation Models, and Retrieval-Augmented Generation (RAG) architecture. • Design and deploy Agentic AI and multi-agent systems to streamline complex operational workflows. • Establish Database Architecture standards and oversee MLOps and AI platform engineering. • Collaborate with cross-functional technical teams to resolve system performance bottlenecks and optimize data set processing. REQUIRED SKILLS • Generative AI, LLMs & RAG (3+ years) • Agentic AI & Multi-Agent Systems (2+ years) • MLOps & AI Platform Engineering (3+ years) ADDITIONAL DESIRED SKILLS • Database Architecture (Expert level) • Databricks & Lakehouse Engineering / Cloud Data Engineering • Full Stack Engineering • Life Sciences domain experience CANDIDATE PROFILE • The ideal candidate is an experienced AI/ML subject matter expert with deep expertise in LLM fine-tuning, RAG, and agentic workflows. They demonstrate strong team leadership, possess an architectural mindset for complex databases, and thrive in hybrid environments collaborating across technical teams.