Top AI Research Jobs in Chicago, IL

The Associate Principal Scientist will design and execute research projects, perform computational analyses, and communicate insights in precision medicine for oncology, collaborating with stakeholders.

As Director of User Insights, you'll lead a research team, utilizing qualitative and quantitative methods to inform product decisions and improve user experiences. You will ensure research connects to actionable outcomes and supports product development initiatives.

Lead and conduct mechanistic interpretability and alignment research for security-specialized AI. Develop methods to read model internals, detect misuse signals, design training interventions and evaluation frameworks, publish original research, and recruit and mentor a lean research team.

The Advisory Agentic Technologist will be the Subject Matter Expert in identity management, driving technical success and strategy, collaborating on agentic AI innovations, and influencing product development, with a focus on the US, Canada, and Latin America.

Responsible for coordinating and delivering AI learning programs, collaborating with stakeholders, monitoring program effectiveness, and improving global AI learning strategies.

Lead client relationships and grow EisnerAmper's AI Advisory practice by advising C-suite and boards on AI strategy, governance, risk, and implementation. Drive business development, manage complex advisory engagements, assemble delivery teams, ensure successful delivery, and contribute to practice strategy, thought leadership, and talent development. Travel ~35%.

As a Curriculum Specialist, you will maintain and enhance computer science curriculum, create instructional materials, and support teachers while ensuring quality and alignment with standards.

Lead forward-looking research on robot learning, hardware, supply chains, and commercialization. Produce reports, forecasts, and briefings; track mobile manipulators, quadrupeds, cobots, and autonomous vehicles; assess AI, edge compute, and simulation impacts; collaborate with cross-sector analysts; support investors, OEMs, and policy stakeholders; and present findings to senior executives and clients.

Serve as enterprise strategic advisor on AI and automation by researching market and vendor trends, evaluating emerging capabilities, developing evidence-based adoption recommendations, supporting investment and roadmap planning, and briefing senior leaders. Maintain competitive intelligence, assess risks and governance implications, and collaborate with business, product, and governance stakeholders to align strategy and execution.

Deputy leader for enterprise knowledge management who integrates KM, content, and AI capabilities. Owns M365/SharePoint knowledge architecture, information lifecycle and governance, AI-enabled search and contextualization, stakeholder advising, change management, and enterprise-scale KM transformations.