Artificial Intelligence (AI) Engineer

We are looking for an Artificial Intelligence (AI) Engineer to join a long-term contract opportunity based in Cincinnati, Ohio. In this role, you will create and operationalize AI and machine learning solutions with a strong focus on generative AI, helping translate business needs into secure, scalable applications. You will collaborate across technical and business teams to deliver production-ready models, strengthen AI adoption, and support measurable outcomes through thoughtful engineering and evaluation.Responsibilities:• Create, train, and deploy scalable AI and machine learning solutions, including generative AI applications such as large language models, retrieval-augmented systems, and prompt-driven workflows.• Build and maintain data pipelines, feature preparation processes, and model training and evaluation jobs using Python and established machine learning frameworks.• Deliver models into production as APIs or batch processes, and improve inference performance with attention to speed, reliability, and cost efficiency.• Assess emerging generative AI tools and model architectures, including embeddings, vector search, and diffusion-based approaches, to support defined business use cases.• Develop prompt strategies, orchestration flows, safety controls, and evaluation methods, using structured testing to improve response quality and reduce risk.• Apply MLOps and LLMOps practices such as experiment tracking, version control, deployment automation, monitoring, alerting, and drift detection.• Integrate AI services with enterprise data platforms and business systems, including APIs, event-driven architectures, data warehouses, and reporting environments.• Partner with product, analytics, IT, and data architecture teams to clarify requirements, document technical decisions, and deliver solutions that meet agreed objectives.• Promote responsible AI practices by incorporating privacy, security, fairness, and content safety considerations into model behavior, testing, and deployment.• Track performance indicators for AI initiatives, share insights on effectiveness and adoption, and stay current with advances in generative AI and broader machine learning methods.