Top AI Jobs in Chicago, IL

Lead product management in AI-driven safety solutions, focusing on video-based safety products, managing a roadmap and collaborating across teams for customer impact.

The Director of Product Management for the Data and AI Platform is responsible for developing and scaling a data infrastructure to support AI-driven insights and features, managing a product team, and delivering AI capabilities that enhance identity security solutions.

The role involves deploying and supporting CrowdStrike's AI capabilities in cybersecurity, optimizing threat detection, and mentoring teams on AI solutions.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

The Senior AI Product Manager will lead the discovery, strategy, and lifecycle of AI products, ensuring they deliver measurable business value while adhering to governance and compliance standards.

The role involves integrating AI models into existing products, collaborating with the data science team, and enhancing user experiences. Responsibilities include model evaluation, framework design, and monitoring AI performance.

AI Writing Evaluators will create prompts and evaluate AI-generated writing for accuracy and clarity, requiring expertise in business operations or education.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

The Senior Data Science Manager will lead and mentor a data science team, execute key projects, influence product strategies, and collaborate across departments to enhance AI/ML capabilities.

The role involves designing AI systems for mental healthcare, focusing on building scalable, production-grade systems that enhance patient engagement and clinical operations. Responsibilities include setting technical standards and ensuring safety and reliability while working with advanced AI technologies.

The Director of AI Enablement & Applications oversees AI application in customer experience, focusing on strategy, technology, and operational excellence, ensuring AI-driven solutions improve customer satisfaction and efficiency.

The role involves architecting QuillBot's AI systems, leading R&D and Applied AI teams, and integrating cohesive workflows across products. Responsibilities include designing agent-driven systems, optimizing performance, and aligning cross-functional teams for effective execution.

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.

As Senior Director of AI, lead the development of QuillBot's agent-driven AI platform, overseeing AI R&D and Applied AI teams for cohesive product integration and system architecture.

The Senior Evangelist will lead initiatives to promote OutSystems' AI vision and technology, represent the company at events, and manage a team focused on evangelism within the developer community.

The AI and Agentic Transformation Consultant leads AI strategy sessions, designs governance frameworks, and implements AI solutions for clients while ensuring project delivery excellence.

The Staff Applied AI Engineer will lead AI-powered product development, focusing on multi-agent systems, workflow automation, and application UI generation, shaping the architectural direction and platform integration.

As a Staff AI Engineer, you'll lead AI product development, overseeing technical direction, system deployment, and model evaluation while collaborating across teams.

Lead AI safety strategies for autonomous vehicles, ensuring compliance with safety standards, mentoring teams, and guiding technical projects in AI/ML development for safety-critical applications.

The Director, Enterprise AI will spearhead AI initiatives across the organization, oversee deployment strategies, and drive innovation.

Develop AI solutions for marketing teams, integrating AI agents and workflows while coaching teams for self-sufficiency in AI use.

The AI Engineering Intern will support the development of AI applications, learn modern AI practices, and assist in testing and integration of AI models.

As AI Enablement Services Lead, you will design AI solutions for operational tasks, automation of delivery processes, and enhance team capabilities in utilizing AI effectively.

Design and implement AI-native software development lifecycle standards. Lead organizational adoption and integration with enterprise architecture in a regulatory environment.

The role involves designing evaluation tasks for AI systems, developing expected responses, and providing feedback to improve task quality and relevance.