Top AI Jobs in Chicago, IL

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.

Lead architecture and implementation of GenAI-driven conversational experiences using Amazon Connect and AWS services. Translate business requirements into scalable designs, integration specs, and configuration maps. Collaborate across product, QA, CRM, data, and engineering teams to ensure performance, security, reuse, and production readiness of AI agents, chatbots, and digital routing solutions.

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.

Lead development and integration of GPU-accelerated anomaly detection, digital twins, and GenAI-assisted predictive analytics for condition monitoring. Deploy and optimize models for NVIDIA GPUs and Jetson edge hardware, build RAG-enabled LLM diagnostic workflows, integrate multimodal telematics data, and collaborate with engineering teams for onboard simulation, testing, and hardware-software co-design.

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

Lead commercial growth for AI applications and data connectivity in precision medicine. Close strategic partnerships with biopharma and academic medical centers, expand real-time EHR and device integrations, scale AI diagnostic deployment, build and manage a 20-FTE commercial and connectivity organization, and implement repeatable pipeline and forecasting systems.

Responsible for leading AI-driven strategy and transformation in procurement and finance, evaluating AI readiness, advising on change management, and establishing collaboration among teams.

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 DB2 Database Administrator, you will optimize performance, ensure reliability, support production systems, mentor junior engineers, and participate in disaster recovery planning.

Own a new product vertical from 0–1: learn existing product processes, conduct customer research, write specs, prototype, run experiments, analyze results, launch and iterate a revenue-generating product, lead go-to-market, and hire a team to scale.

Lead identification, launch, and scaling of new customer acquisition channels. Own channel roadmap, run experiments, analyze full-funnel metrics (CAC, LTV, ROAS), partner with product/data/creative, and pioneer AI agents to automate and accelerate marketing operations.

Lead identification, launch, and scaling of new customer acquisition channels (paid and partnership). Build channel roadmap, design experiments, measure full-funnel metrics (CAC, LTV, ROAS, incrementality), partner with product/data/creative, and pioneer AI agents to automate and accelerate marketing operations.

As an AI Commercial Strategy Manager at PwC, you will execute AI commercialization strategies, lead AI adoption, and ensure alignment with business objectives while providing leadership and mentoring in a consulting capacity.

Lead AI strategy and agent development, partnering with customer success teams to enhance clinical workflows and promote AI innovations. Responsibilities include architecting AI systems, managing projects, and presenting outcomes to executives.

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 Solution Architect will lead AI transformation engagements, providing expertise in AI strategy and architecture, focusing on customer success, governance, and enabling organizational change.

As a Software Engineer, you'll build AI-driven software solutions for various internal teams, emphasizing customer collaboration and problem-solving.

The role involves leading teams in Microsoft Dynamics 365 implementations, mentoring junior staff, managing client accounts, and ensuring project quality and success through strategic planning and innovation.

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.

The Staff AI Software Engineer will own the full AI systems lifecycle, from model development to production deployment, focusing on NLP and generative AI solutions, while collaborating with cross-functional teams to optimize and drive solutions.