Top Artificial Intelligence Engineer Jobs in Chicago, IL

Lead technical vision and execution for enterprise-scale AI, automation, and data initiatives. Architect scalable, secure AI systems and data pipelines, mentor engineers, drive cross-functional alignment, and deliver high-impact production solutions that improve productivity and business outcomes.

The Data Engineer Co-op will work on web data feeds, utilize AI technologies and frameworks, and develop data pipelines.

As an AI Automation Engineer, you'll identify and build AI-driven automation systems for internal operations, rapidly prototype solutions, and enhance business workflow efficiency, ensuring systems are robust and secure.

Design, test, and optimize prompts for generative AI, collaborate with data scientists, analyze model performance, and improve prompt engineering processes.

As a Senior Software Engineer, you will build AI-driven agent systems for media planning and execution, collaborating closely with data scientists and product teams.

Seeking a Sr. AI Engineer to lead AI integration projects, mentor engineers, develop AI/ML platforms, and ensure operational excellence.

As an AI & IT Systems Engineer, you will ensure robust IT infrastructure, enable AI workflows, and manage SaaS applications. You will partner on AI initiatives and provide cross-functional technical support.

Lead a technical team to drive sales strategy for Cloudflare's Developer Platform, mentor architects, enhance product offerings, and collaborate with executives and departments.

The role involves architecting and maintaining marketing databases, implementing data infrastructure for AI/ML, managing data pipelines, and collaborating with stakeholders to develop data-driven solutions.

The role involves leading product marketing for Label Studio Enterprise, focusing on strategic positioning, messaging, and sales enablement, while collaborating across departments to enhance market presence and user engagement.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Lead the buildout and scaling of AI capabilities at Optimal Dynamics, establishing engineering standards and delivering production systems. Own end-to-end initiatives from data readiness to production launch, collaborating cross-functionally and mentoring teammates.

The AI Engineer will develop LLM-powered copilots, manage retrieval and context layers, optimize GPU costs, and ensure compliance and safety. Responsibilities include improving search accuracy and working across teams to design effective systems.

The AI Developer at Harvard Business Publishing will develop AI/ML infrastructure, support product teams, and drive innovation through AI applications.

The AI Engineer is responsible for developing, deploying, and scaling AI solutions, collaborating with teams, optimizing performance, and driving delivery of AI components.

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.

Design and build core services for AI products, implement compliance guardrails, debug fullstack issues, and participate in code reviews.

Design and implement automations and AI integrations within HR technology, focusing on systems like Moveworks and Workday HCM. Collaborate with stakeholders to ensure technical alignment with HR goals.

Lead development of a scalable AI tutoring system: build prompt architectures and agentic workflows, run experiments and custom evaluations, integrate models into production, ensure safety and observability, prototype novel model interactions, and collaborate with educators and product teams to translate pedagogical goals into robust technical solutions.

Design, build, and productionize the core AI tutoring system: prompt architectures, agentic workflows, evaluation frameworks, and scalable integrations. Run experiments, ensure safety and observability, and collaborate with product and education teams to improve learning outcomes.

Lead development of a real-time, adaptive AI tutoring system: design prompt architectures and agent workflows, build scalable production integrations, run rigorous experiments and custom evaluations, ensure safety and observability, and collaborate with educators and product teams to prototype and productionize novel model interactions.

As an AI Engineer, develop scalable AI tools and cloud-based systems, collaborate with marketers, and document technical processes at HubSpot.

The AI Developer will design and deploy AI solutions to enhance enterprise platforms, integrating ML capabilities and APIs while ensuring secure data operations.

The AI Engineer role focuses on enhancing applied AI systems, developing tools for LLM applications, and optimizing workflows while collaborating with the product team.

As an AI Engineer, you'll design and deploy AI agents, optimize AI integration, and contribute to the AI/ML lifecycle to enhance product capabilities.