Top Artificial Intelligence Engineer Jobs in Chicago, IL

As a Senior AI Engineer, you'll implement AI solutions, facilitate customer workshops, lead development projects, and align strategies with business objectives, utilizing Azure and OpenAI technologies.

As an AI Engineer III, you will design and improve AI-driven product features to enhance patient billing clarity and workflows in healthcare.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

As a Staff AI Software Engineer, you'll develop and optimize scalable AI applications, manage deployment pipelines, and collaborate with cross-functional teams to drive innovative solutions.

Lead and develop Agentic AI solutions, mentor team members, collaborate on AI applications, and tackle complex challenges in cybersecurity.

As an AI Integrations Staff Engineer at Vetcove, you'll integrate AI models like ChatGPT into existing products, optimize performance, and collaborate with data science teams to enhance user experience.

The AI & Automation Engineer will implement AI-powered solutions, integrate AI with enterprise applications, build automated workflows, and drive business enablement through training and support.

The Staff Full Stack Engineer will enhance machine learning workflows at Cruise by developing UX experiences, backend integrations, and overseeing system architecture and performance metrics.

Lead development of AI capabilities for a SaaS platform, defining the AI roadmap, building intelligent features, and integrating AI/ML models.

As a Staff AI Engineer, you will lead AI development, design systems for complex data problems, ensure operational excellence, mentor peers, and contribute to team growth.

Design and build intelligent software agents for federal missions, integrating AI technologies and creating full-stack applications in an agile team environment.

The AI Engineer will improve text-to-SQL accuracy, build evaluation frameworks, and develop production-grade LLM applications, collaborating with engineering and customers for enhancements.

Develop innovative software solutions, mentor junior team members, and analyze project requirements in a collaborative environment focused on digital transformation.

The role involves leading software engineering teams, developing large-scale data processing systems, mentoring junior staff, and ensuring project success. You will leverage programming languages and technologies like Java and Python, embracing innovation and technology to enhance delivery.

Lead software engineering projects and mentor junior staff while delivering innovative solutions. Oversee large-scale systems and enhance operational processes.

Design and develop applications using Python and Java Spring Boot, build AI/ML models, and collaborate with teams to implement best practices.

The Senior AI Engineer will lead development of AI systems, collaborating with product and engineering teams, designing architectures, and ensuring performance of machine learning applications in healthcare.

Design, develop, and optimize AI models and solutions, implementing them on cloud platforms while collaborating with teams to enhance AI capabilities.

Lead the AI engineering team to architect and maintain data pipelines for LLM models and enterprise AI solutions, ensuring compliance and high performance.

Lead a team of AI and ML engineers in developing scalable solutions, collaborating with various teams to integrate models, ensure compliance, and drive innovation in AI technologies.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

Design, develop, and deploy AI and machine learning models. Collaborate with teams to integrate AI models and optimize for performance.