Top AI Jobs in Chicago, IL

Provide transactional legal support for commercial agreements across healthcare and life sciences, advising on AI, data privacy, IP, regulatory issues (HIPAA, Stark, Medicare/Medicaid), and general corporate matters while partnering with cross-functional teams to evaluate legal risk and enable business objectives.

Conduct internal audits to evaluate internal controls and regulatory compliance; apply GAAP/GAAS and auditing methodologies; use data analysis and AI tools to assess financial statements; prepare audit reports, support audit function setup and transformation, perform risk analysis, and manage stakeholder communication and project tasks.

Provide legal support for technology transactions across the firm: draft, structure, and negotiate tech agreements (SaaS, cloud, AI, data, IP), lead diligence for investments/acquisitions, advise on regulatory and outsourcing matters, coordinate cross-functional stakeholders, and manage multiple complex matters while delivering clear legal advice to business and senior executives.

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

Provide legal counsel on data, analytics, and AI products for Payments and Commercial/Investment Bank clients. Negotiate client agreements, advise on regulatory and market developments, collaborate with Legal, Risk, and Compliance, and support product launches and market expansion while ensuring compliance and managing multi-jurisdictional legal matters.

The Manager of Regulatory Submissions will lead regulatory strategies and submissions for global authorities, ensuring regulatory alignment with business goals while collaborating with cross-functional teams on medical devices.

Lead cybersecurity architecture for cloud-native enterprise solutions: evaluate controls and new technologies, advise stakeholders, provide technical guidance, promote firmwide SDLC practices, and mentor peers to mitigate risk and adopt strategic solutions.

Deliver consumer risk reporting and analysis to senior management, board, and regulators. Develop dashboards and analytics, manage data governance and controls, automate reporting using AI, and collaborate across businesses to enhance transparency and decision-ready insights.

Lead product strategy and execution for mission-focused software by engaging customers, guiding cross-functional teams, managing risk, improving discovery, mentoring product managers, and supporting business development for national security applications.

Lead product management for Capital One's Enterprise AI/ML platform, building capabilities for data scientists, ML engineers, and developers. Drive platform strategy, deliver resilient and governed AI solutions, collaborate with engineering, risk, security, and business teams, and translate user needs into scalable, operational products.

Lead product strategy and execution for enterprise AI/ML and Generative/Agentic AI platforms. Drive capabilities for model training, serving, and developer/data scientist UX, partner across platforms, and deliver business value and adoption at scale.

Own monitoring, testing, and tuning of Inspira's AI virtual agent to improve resolution, deflection, and CSAT. Analyze conversation transcripts and performance data, run A/B and regression tests, adjust retrieval/configuration and intents, partner with Content and IT to fix knowledge gaps, maintain performance dashboards, lead root-cause analysis, and support go-lives for new bot capabilities.

Lead design and delivery of AI/GenAI solutions and scalable data infrastructure. Drive business development, manage multiple client engagements, mentor teams, implement AI models using Python and C++, ensure data quality, and promote innovation across projects.

Lead design, development, and production deployment of AI/ML solutions and conversational chatbot platforms. Own end-to-end implementation, MLOps/CI-CD, containerized deployments, solution architecture, security and governance, mentor engineers, and collaborate with product, enterprise architecture, and vendors to deliver scalable, monitored AI systems.

As a Software Engineer, you will build AI systems to enhance developer workflows, implementing agents and servers, and ensuring code reliability through evaluation pipelines.

The AI Engineering Specialist will oversee project tasks, manage expectations, mentor junior members, and design scalable AI systems while working with advanced AI models and ML pipelines.

Embed with functional teams to discover high-value workflows, build and ship AI agents and automations on shared infrastructure, coach teams to self-sufficiency, monitor adoption and quality, productize durable agents into the platform, and document reusable playbooks to scale transformation across the company.

Summer Analyst in Data & AI will design and build end-to-end data, analytics, and ML/AI solutions using cloud and modern tooling. Responsibilities include developing models and pipelines, running experiments tied to business KPIs, supporting data governance and compliance, creating dashboards, and collaborating in agile teams while receiving mentorship and training.

Participate in a two-day hackathon solving nonprofit data problems and network with Data & AI teams. Potential pathway to a 2027 Data & AI summer internship where you would build end-to-end data, analytics, and ML solutions, design data platforms and pipelines, develop production-ready models and dashboards, ensure data governance and compliance, work on agile teams, and deliver data-driven recommendations.

Lead design and delivery of enterprise integrations, automation, and AI-enabled workflows across SaaS platforms. Architect scalable APIs, conversational IT/self-service experiences, and agentic LLM workflows while partnering with Security, Infrastructure, and Product to ensure governance, reliability, and operational excellence.

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

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 AI content operations product work: embed with content teams, identify automation opportunities, build prototypes and AI-powered tools (metadata, conversion, review, assistants), integrate with Sanity CMS, make build-vs-buy decisions, and drive adoption across marketing and learning teams.

Lead end-to-end delivery of custom technology solutions across supply chain functions (planning, manufacturing, warehouse, logistics, merchandising). Define architectures and roadmaps, identify agentic AI use cases, guide development/testing/deployment, lead cross-functional teams, manage scope/timelines/budgets, and run client workshops to translate technical solutions into business outcomes.

Lead principal for CFD and physics-based simulation focusing on CFD, fire/explosion, refrigerant leakage, battery thermal runaway, combustion, multiphase flows, and electronics cooling. Own V&V strategy and model credibility, enforce ASME/NASA/Oberkampf & Roy best practices, drive test-to-simulation correlation, mentor engineers, produce technical reports for certification, and guide global teams on validated modeling approaches for safety-critical applications.