AI Engineer III

We, at Leggett & Platt Inc., are searching for an AI Engineer III within our Corporate IT team to help support our business. As a global‑diversified manufacturing company, it’s sometimes hard to explain all the different things we do. We like to say, “we’re the biggest company no one has ever heard of.” We are confident you interact with one of our products in your daily life without knowing it.

Whether it’s the mattress you sleep on, the car you drive, the plane you fly on, or the furniture you sit on, our high‑quality components are there supporting you. If you join our team, your work will ensure people across the world have a little more comfort in their lives.

As an AI Engineer III you will have the opportunity to build, deploy, and support AI‑enabled solutions that improve business processes. This role will work closely with AI architects, data teams, application teams, and business stakeholders to deliver secure, scalable, and production‑ready AI capabilities. The AI Engineer III will help develop machine learning, generative AI, and automation solutions using Microsoft and enterprise technologies while supporting each solution from development through deployment, monitoring, support, and continuous improvement.

• Design, build, test, deploy, and maintain machine learning, generative AI, and AI‑enabled application solutions for business use cases.
• Develop LLM‑powered applications such as copilots, chatbots, knowledge assistants, summarization tools, agents, and workflow automation solutions.
• Implement retrieval‑augmented generation patterns, including document ingestion, chunking, embeddings, vector search, retrieval logic, response grounding, and evaluation methods.
• Build and maintain data pipelines, APIs, services, connectors, and integrations that embed AI capabilities into enterprise applications and business processes.
• Develop prompt and context engineering approaches, structured outputs, tool or function calling patterns, guardrails, and content filtering for generative AI solutions.
• Use Microsoft and enterprise platforms such as Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Machine Learning, Microsoft Fabric, Power Platform, Microsoft 365, and Dynamics 365 for development, orchestration, deployment, and integration.
• Apply secure development, responsible AI, sensitive data handling, access control, prompt injection protection, and enterprise data governance practices.
• Implement MLOps and LLMOps practices, including version control, automated testing, CI/CD, deployment pipelines, monitoring, rollback processes, and production troubleshooting.
• Collaborate with AI architects, data scientists, data engineers, analysts, Dev Ops teams, application teams, and business stakeholders to deliver supportable AI solutions.
• Monitor deployed AI services for quality, reliability, usage, cost, performance, errors, drift, security events, business value, and continuous improvement opportunities.

• 5+ years of experience in software development, data engineering, cloud engineering, or related technical roles.
• 1 to 2 years of hands‑on experience building solutions with generative AI, large language models, copilots, agents, automation, or AI‑enabled applications.
• Working knowledge of retrieval‑augmented generation, embeddings, vector search, prompt and context engineering, structured outputs, and LLM evaluation concepts.
• Experience using cloud‑based AI, machine learning, search, data, or application development platforms to build, integrate, deploy, and support AI‑enabled solutions.
• Proficiency in Python and experience with common AI, data, and application development libraries, frameworks, APIs, and SDKs.
• Experience with Git, automated testing, CI/CD practices, cloud deployment, logging, monitoring, and production troubleshooting.
• Strong understanding of machine learning fundamentals, data structures, model evaluation, software engineering practices, secure development, data privacy, access controls, responsible AI, and enterprise data governance.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data…