Top AI Jobs in Chicago, IL

Lead the Developer Experience team to enhance internal tools that boost developer productivity, focusing on API-driven design and integrating generative AI solutions.

The Integration Product Manager leads product management initiatives, drives innovation using technology, mentors junior staff, and ensures project success.

The Senior Manager, Compliance Advisor ensures compliance with laws and regulations in retail banking, advising on regulatory requirements and risk management.

The Senior Director, Technical Recruiting, designs and implements recruiting strategies, leads a team, and partners with business leaders to enhance technical talent acquisition globally.

The role includes leading software engineering projects, managing scrum teams, coding, maintaining security and stability, and enhancing technology solutions.

The IMC PhD Fellowship offers funding to doctoral candidates in STEM fields, providing $50,000 for education and a travel stipend for conferences. Candidates should have fewer than two years left in their PhD program and mentorship in quant research is provided.

Lead our Developer Experience team, focusing on building internal tools that enhance developer productivity and integrating generative AI into workflows.

As Senior Counsel, Product, you'll partner with R&D teams, offering legal guidance on healthcare regulations and technology innovations, ensuring compliance while fostering business growth.

As a Project Manager I, you will lead initiatives in Global Equities Operations, transforming strategic plans into actionable projects while fostering collaboration and mitigating risks.

As Counsel for Regulatory and Privacy, you will guide product and operations teams on healthcare regulations and privacy laws, ensuring compliance while enabling innovation.

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

As an AI Business Partner, you will implement the AI strategy at Zynga, ensuring effective use of AI technologies across teams, managing vendor relationships, and collaborating with stakeholders to track business KPIs.

The role involves managing AI product development for Velocity Black, focusing on customer experience, stakeholder coordination, and product strategy while leveraging technology and data for decision-making.

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

The Director of Practice Intelligence is responsible for data-driven solutions to optimize service delivery and improve client outcomes, managing analytics projects from conception to implementation.

The Lead Architect is responsible for developing data architecture solutions, engaging stakeholders, and leading data architecture practices while applying advanced knowledge in data modeling and governance.

Lead the identification, evaluation, and analysis of technology and cybersecurity risks. Provide comprehensive assessments and collaborate with teams to remediate vulnerabilities.

The Senior Specialist leads AI governance for digital workplace tools, manages technologies, drives adoption, and fosters AI literacy across the organization.

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

The role requires architecting and implementing integrations using ServiceNow technologies and AI solutions while consulting with customers to drive business outcomes and ensure best practices are followed.

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

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

The AI Solution Architect designs and implements AI-driven solutions, guiding engineering teams in applying AI tools and ensuring architectural integrity while coaching peers and collaborating with various teams.

Lead multiple teams in delivering full-stack AI solutions. Oversee AI model lifecycle, ensuring quality and strategic alignment while fostering innovation and stakeholder relationships.

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