Top AI Jobs in Chicago, IL

As a Director in the Customer Experience Transformation team, you will oversee CCaaS projects, manage teams, drive business development, and implement AI solutions to enhance customer interactions.

The role involves leading AI operations, managing incidents, mentoring junior staff, and ensuring operational excellence within managed services delivery while building client relationships.

The Director of Digital Assurance & Transparency will lead AI solution teams, manage full-stack AI solutions, ensure quality, and foster innovation while driving business growth.

The role involves designing and developing microservices using .NET and ReactJS, deploying applications on Azure, and utilizing AI coding assistants for software development.

Lead architectural strategy for migrating applications to AWS, assess cloud readiness, enhance team skills in AI-native engineering, and ensure successful implementation of migration projects while mentoring staff and managing performance.

As a Generative AI Product Manager, you'll prototype AI solutions, deploy workflows, drive AI adoption, and shape governance standards across the organization.

Lead teams to build scalable AI applications, develop client relationships, manage budgets, and mentor talent in the AI field.

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

The AI Engineer role involves prototyping AI solutions, collaborating with cross-functional teams, validating workflows, and documenting technical learnings.

The Senior AI Product Manager will research financial advisor workflows, prioritize AI use cases, lead experiments, and collaborate with teams to prototype solutions to enhance product implementation.

The AI Engagement Manager will lead strategic relationships with clients to implement AI solutions, driving business transformation and optimizing operations in the housing sector.

As an AI Sales Engineer, you will provide technical leadership, advise customers on cloud capabilities, lead sales calls, and align product roadmaps with customer needs.

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 Marketing Intelligence Analyst uses advanced data analytics, including machine learning and AI, to derive insights from large data sets, develop predictive models, and provide recommendations for business leaders to improve competitiveness and decision-making.

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

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

The Principal I, Strategic AI Sales will drive business growth for Braze AI by managing customer relationships, collaborating with sales, and training teams on AI decision-making applications.

The Senior Program Manager will drive AI program delivery, work with cross-functional teams, manage projects, and support AI initiatives in sales.

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.

Rapidly prototype and validate AI solutions for advisor workflows, integrating models, signals, and UX into experiments. Collaborate with PMs, designers, and researchers, capture technical learnings, and hand off prototypes for production.

The role involves leading product management for AI/ML solutions, ensuring customer focus, technological innovation, and solving complex problems collaboratively.

As an AI Outcomes Manager, you will lead AI adoption in legal practices, create measurable workflow solutions, and ensure effective product implementation aligned with client needs.

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

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.

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.