Top AI Jobs in Chicago, IL

Lead and optimize the financial systems architecture, drive automation, enhance business intelligence, and develop a high-performing team in financial technology.

The Senior AI Consultant will collaborate with leaders to identify automation opportunities, design proof of concepts, implement AI solutions, and ensure value creation through effective change management.

As a Field Data Scientist, you will collaborate with clients to define use cases, improve product architecture, develop data pipelines, and refine ML models while ensuring successful customer outcomes.

The AI Success Manager will ensure customer success by managing relationships, driving renewals and upsells, conducting data analyses, and communicating customer insights to the Braze team.

In this leadership role, the Principal Architect develops and implements enterprise-wide data security strategies, focusing on AI and ML challenges, while mentoring teams.

This role involves supporting the application product lifecycle for clinical software, focusing on data integration and AI initiatives, while collaborating with stakeholders to translate business needs into technical requirements, and leading project delivery.

Lead AI governance initiatives, oversee compliance with regulatory frameworks, manage risks, and collaborate with various teams to enhance AI and technology governance.

The Major Account Manager will exceed sales targets for 15-20 enterprise accounts, using a consultative approach to meet client needs in cloud computing and IT systems.

As Director of Business Operations & Strategy, you'll scale the insurance business by overseeing systems, strategy, and execution with cross-functional teams to enhance user experience and carrier performance.

The role involves developing and implementing AI solutions, analyzing data for decision-making, and supporting project tasks in a fast-paced environment.

Join Welo Data to assist in AI projects, contributing to language data quality through annotation and evaluation while working remotely.

The Senior GTM Engineer will develop AI solutions for GTM workflows, integrate AI platforms with core tools, and lead AI experiments to drive revenue impact.

Lead the development of AI agents, monitor and optimize their performance, integrate them into workflows, and support company-wide AI initiatives.

The Director of Design will lead a global team, manage delivery across projects, engage with clients, and innovate design practices to align with business outcomes.

The Principal Product Manager will lead strategy and delivery of an AI-native platform, transforming internal products and tools, while engaging with cross-functional teams and overseeing product lifecycle.

The AI Strategist will join discovery sessions to define strategic goals, design system models, and enable AI personalization through effective frameworks and documentation.

Manage the vision and strategy for healthcare consulting products, overseeing execution, collaborating with teams, and ensuring market needs are met.

Contribute to AI integration in developer workflows by implementing agents and servers; improve AI-generated changes and collaborate on experiments.

The Software Engineer II will develop and support AI-driven projects, engage in code reviews, and collaborate with product teams to enhance user experience on the YCharts platform.

The Cloud Technical Support Engineer - Co-op will assist enterprise customers with integrating applications, diagnose issues, validate interoperability with third-party software, and work with R&D and development teams.

As a Product Manager II for AI, you'll drive AI products, manage roadmaps, collaborate with teams, and enhance customer experiences.

Develop and drive global account strategy, exceed revenue goals, manage executive relationships, and navigate complex client organizations in the Life Sciences sector.

Lead strategy, roadmap, and execution of AI and data platform capabilities. Build scalable infrastructure for data-driven applications and drive AI adoption.

Lead AI-driven insights and predictive analytics for enterprise business applications, focusing on optimizing processes like Quote-to-Cash and customer retention through data analysis and machine learning.

As a Staff Data Scientist in AI Products, you will drive AI/ML capabilities, influence product strategy, and collaborate with various teams to enhance data foundations.