Top AI Jobs in Chicago, IL

The AI Engineering Specialist will oversee project tasks, manage expectations, mentor junior members, and design scalable AI systems while working with advanced AI models and ML pipelines.

As a Software Engineer, you will build AI systems to enhance developer workflows, implementing agents and servers, and ensuring code reliability through evaluation pipelines.

As a Senior Data Scientist, you will design and evaluate AI systems including generative AI and LLMs, mentor junior scientists, and translate findings into production prototypes while collaborating with engineering teams.

The Lead Data Scientist will lead AI prototype development, manage data preparation, collaborate on production-ready models, and communicate complex findings to stakeholders.

The Senior Scientist II will lead AI-driven projects in oncology, developing agentic frameworks and predictive models while collaborating with teams and pharma partners.

As a Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.

AI Engineers at Hex will build AI experiences, manage search and context architecture, and work on scalable AI applications. Responsibilities include running experiments, developing infrastructure, and leading initiatives for new capabilities.

As an Associate AI Engineer, you will develop data solutions and AI initiatives, collaborate with teams to enhance user experiences, and prototype AI-driven insights for dashboards.

In this role, you will drive revenue by promoting Braze AI tools, perform proofs-of-concept, and lead educational programs while collaborating with various stakeholders.

The Senior Machine Learning Engineer will design, build, and deploy AI agents at scale, enhancing Dropbox Dash's search and organization features. Requires extensive ML experience and proficiency in Python and ML libraries.

The Director of AI Engineering will lead a team in developing AI solutions, manage engineering practices, and define technical strategy to ensure high-quality AI products.

Design and implement AI capabilities, transition prototypes to production, build agent workflows, optimize data retrieval, and automate evaluation processes.

Lead teams building computer vision and machine learning for AI dash cameras, managing model lifecycle, coordinating with cross-functional teams, and driving AI product development.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The role involves building AI infrastructure to support healthcare applications, mentoring engineers, defining technical direction, and ensuring system reliability and scalability in production environments.

As a Senior AI Engineer, you'll design and implement AI-driven solutions, focusing on full-stack development and production-grade applications while mentoring junior team members.

The AI Automation Lead will architect and deliver multi-agent AI workflows, develop full-stack applications, and lead technical decisions across engineering teams.

Lead design and delivery of enterprise AI architectures focused on agentic systems. Define infrastructure, orchestration, data retrieval, and MLOps patterns; evaluate emerging AI technologies; translate business requirements into scalable, production-ready AI solutions and collaborate with cross-functional teams.

Lead AI project management efforts, focusing on data-driven initiatives, fostering relationships, evaluating problems, and ensuring project success while monitoring AI trends.

The Principal Data Scientist develops predictive models, designs large-scale data pipelines, and collaborates to enhance data-driven decision-making using advanced analytical algorithms.

Lead the design and delivery of scalable voice and chat solutions using Amazon Connect, focusing on integrations, reliability, and performance optimization.

As the Lead AI Strategist, design and deploy advanced AI/ML models to optimize revenue and mitigate medical costs, impacting financial performance directly.

The role involves researching, developing, and implementing AI solutions, optimizing models, integrating AI into workflows, and collaborating with teams to enhance business efficiency.

As a Staff AI Scientist, you will lead AI projects, design deep learning models using multimodal data, and ensure regulatory compliance in healthcare AI products.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.