Top AI Jobs in Chicago, IL

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

This role involves designing and deploying AI-powered marketing solutions, integrating systems, writing code, and collaborating cross-functionally to enhance workflows.

The Specialist Seller will lead AI product go-to-market efforts, partnering with Account Executives to drive strategy and build relationships with complex enterprise accounts, ensuring alignment of solutions with customer needs.

As an Engineering Project Manager, you will manage multiple engineering projects from conception to production, coordinate teams, ensure goals are met, and interact with customers and management.

Lead PayPal's external partner compliance and risk management, deliver oversight on payment network rules, and develop mitigation strategies for compliance risks.

The Enterprise Architect will design scalable AI solutions, mentor teams, support business development, and manage client relationships while evolving technology practices.

Lead go-to-market strategies for AI solutions and datasets, collaborating across teams to enhance product positioning and drive demand generation.

In this role, you will drive revenue by promoting Braze AI tools, perform proofs-of-concept, and lead educational programs while collaborating with various stakeholders.

Support execution of AI and commercial go-to-market plans by coordinating integrated campaigns, sales enablement, and performance tracking. Manage campaign activation across channels, maintain messaging and asset libraries, synthesize performance insights, and ensure CRM/data entry and attribution. Partner cross-functionally with content, digital, field, and solution teams to deliver timely, high-quality marketing deliverables that drive awareness, engagement, and pipeline.

Lead product definition and delivery for AI, real-world data, and advanced analytics in cardiovascular research. Own strategy, discovery, requirements, prototyping, and agile delivery; partner with engineering, data science, clinical operations, and stakeholders to build AI-enabled dashboards, data products, and privacy-preserving analytics that improve trial execution and patient insights.

Build and scale AI platform infrastructure for internal agents across AWS/GCP. Integrate identity (Okta, OAuth2/OIDC), implement agentic security, containerized deployments (Docker/Kubernetes), CI/CD and Terraform-based pipelines, run vendor evaluations, and design observability/telemetry for LLM-driven workflows while collaborating with security, identity, and engineering teams.

The role involves designing AI systems for mental healthcare, focusing on building scalable, production-grade systems that enhance patient engagement and clinical operations. Responsibilities include setting technical standards and ensuring safety and reliability while working with advanced AI technologies.

The Applied AI Developer will design and develop AI applications, build infrastructure for agentic AI systems, integrate APIs, and collaborate with stakeholders on AI solutions.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

Lead teams building computer vision and machine learning for AI dash cameras, managing model lifecycle, coordinating with cross-functional teams, and driving AI product development.

The Director of AI Enablement & Applications oversees AI application in customer experience, focusing on strategy, technology, and operational excellence, ensuring AI-driven solutions improve customer satisfaction and efficiency.

Build and deploy transformer and sequential deep learning models using large-scale financial and behavioral data to power personalized growth and marketing experiences. Work cross-functionally to design scalable training, serving, and monitoring infrastructure (batch and real-time), contribute to experimentation and optimization frameworks, and maintain production-grade MLOps systems to improve member engagement and business metrics.

Own and maintain Wasabi's end-to-end revenue forecast and master model across products, regions, sales pods, and cohorts. Build what-if scenarios, reconcile ARR/bookings/billings/GAAP revenue, produce regular review packages, and lead variance walks. Partner with FP&A, Accounting, Sales Ops, BI, and Data Science; design quota structures; support annual planning; and use AI and ML-driven inputs to automate workflows and improve forecast accuracy.

Lead planning, deployment, tuning, and operational support of CrowdStrike Falcon's AI/ML detection and response capabilities. Implement and troubleshoot AI-driven detection models, automation playbooks, API integrations, and threat-hunting for customers. Provide training, mentorship, and customer-facing collateral while optimizing detection efficacy and integrating Falcon into customers' security workflows.

Design, build, and deploy LLM-powered applications, collaborating with Data Science teams to ensure agent systems operate reliably in production. Handle full lifecycle from prototype to production, integrating APIs and managing workflows.

As a Staff Product Designer at FloQast, lead design strategy for AI-driven product capabilities, mentor teams, and ensure design consistency across platforms while enhancing user experiences and stakeholder communication.

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

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.

Design and deliver LLM-powered agentic systems to automate customer support and compliance. Build scalable, secure backend infrastructure (Python/Go), model integration pipelines, grounding and guardrail mechanisms, monitoring, and measurement frameworks. Drive end-to-end AI projects, partner with cross-functional teams, lead code reviews, mentor engineers, and participate in on-call and incident response.

Lead enterprise business development for Pharma Services, targeting large pharma. Drive pipeline, design consultative solutions linking Biological Modeling and Studies to R&D needs, manage forecasts in Salesforce, build executive relationships, collaborate cross-functionally with scientific teams, and inform product evolution to meet commercial targets.