Top AI Jobs in Chicago, IL

The Applied AI Scientist III develops advanced analytics solutions utilizing AI technologies, leading projects in predictive analytics and NLP to enhance healthcare operations and patient care.

The Principal of Solution Engineering leads pre-sales efforts, designs digital healthcare experiences using League's platform, and collaborates across teams to deliver AI-driven solutions while ensuring compliance with security policies.

As a Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.

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

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.

Lead enterprise AI strategy and execution to design, pilot, deploy, and scale generative AI, conversational assistants, agentic automation, and AI-enabled workflows across clinical, product, and enterprise systems in a regulated healthcare environment. Align cross-functional teams, define success metrics, and ensure compliance, auditability, and continuous improvement of production AI capabilities.

Rapidly prototype and validate AI solutions for advisor workflows: integrate models, signals, and UX into experiments, test feasibility and performance, iterate with user feedback, document technical learnings, and hand off prototypes for productionization.

Lead end-to-end AI strategy and delivery for clients: translate executive goals into investor-grade business cases, design production-ready LLM/agent/RAG solutions, partner with engineering to deploy measurable AI products, mentor consultants, and build reusable IP to scale engagements.

The role manages design and implementation of AI solutions, collaborates with data science teams, ensures compliance, and leads AI Ops team.

The Senior GTM Engineer in AI Innovation will strategize and implement AI initiatives across Marketing, Sales, and Customer Success while also leading cross-functional efforts and managing a growing team.

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

The Interaction Intelligence Program Manager leads the deployment of AI capabilities in the contact center, overseeing initiatives, technical oversight, and change management with a focus on ethical AI and stakeholder collaboration.

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

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

As a GTM AI Engineer, design and execute AI-driven workflows for Superhuman's go-to-market stack, improving automation in sales processes and team collaboration.

Design, build, and ship production-grade agentic AI workflows using LangGraph, Temporal, and Pydantic. Implement AI observability with LangFuse, set AI engineering standards (RAG, prompt management, tool-calling), benchmark LLMs, deploy cloud AI (containerization, cost management), and mentor engineers while supporting enterprise SLA, security, and compliance needs.

Develop large-scale Foundation Models for Autonomous Driving & Robotics, collaborating with teams, optimizing model performance, and mentoring junior members.

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.

Lead the development and scaling of the AI Applications Platform, overseeing product vision, R&D, and business strategy for a high-performance team.

Lead product for AI Corps: define roadmap, metrics, and platform powering fellow recruitment, matching, deployment, and enterprise L&D. Partner with Earned Revenue, Curriculum, Engineering, and Anthropic to run discovery, experiments, and ship high-quality experiences that scale to enterprise customers.

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

The Senior AI Engineer will lead AI adoption, experiment with solutions, package workflows, measure impact, and drive collaboration in engineering.

The Director of AI Engineering will develop AI-driven solutions, enhance trading workflows, oversee LLMs, and lead AI integration efforts.

The Machine Learning Scientist will develop AI frameworks for predictive modeling in oncology, collaborating with teams to enhance drug R&D efforts through advanced machine learning techniques and multimodal data integration.