Top AI Jobs in Chicago, IL

As a Senior Product Manager, you will define metrics for developer productivity, own measurement frameworks for AI tools, and drive insights from developer experience data to enhance software delivery.

The role involves designing and implementing AI/ML solutions, leading teams, mentoring staff, and managing project delivery while ensuring client satisfaction.

The AI Engagement Manager will lead strategic relationships with institutional owners to harness AI, improve asset performance, and drive measurable ROI across real estate portfolios.

Lead the design and implementation of enterprise AI/ML solutions, oversee project performance, mentor leaders, and ensure compliance with Responsible AI.

As a Senior NLP Data Engineer, you will design and optimize data pipelines, automate workflows, and support machine learning systems, focusing on unstructured text data.

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.

Build and deploy production-scale AI/LLM systems: own ML lifecycle from model development to serving, optimize GPU/Kubernetes deployments, design LLM applications and APIs with monitoring, apply CI/CD and version tracking, collaborate with product teams, and contribute to AI engineering best practices.

As AI Enablement Services Lead, you will design AI solutions for operational tasks, automation of delivery processes, and enhance team capabilities in utilizing AI effectively.

Lead and mentor a team of software engineers to enhance development speed and quality, focusing on AI-native workflows and technical solutions. Conduct collaborative design and code reviews while driving high-leverage outputs with minimal technical debt.

The role involves leading a team of engineers in software development, focusing on AI-driven processes, mentoring, and ensuring high-quality output.

Lead and mentor a team of software engineers, focusing on AI-native workflows and rapid execution. Collaborate on technical solutions and ensure high-quality, scalable code.

The role involves leading AI strategy and implementation, overseeing teams, managing client accounts, and delivering strategic business solutions to enhance client value.

Lead internal AI training and solution development across Grainger's corporate and business functions, advising leaders on AI integration and impact. Design prototypes and drive functionality while collaborating with technical teams.

Provide legal advice on technology and procurement matters, focusing on AI, cloud, SaaS, licensing, distributed ledger, and product development. Draft and update templates, negotiate complex technology agreements, support cross-functional teams and governance committees, and advise on regulatory developments affecting technology procurement across multiple jurisdictions.

The Lead Product Manager will define the product strategy for AI/ML features, collaborating with engineering to deliver innovative solutions, enhancing user experiences, and bridging research with production while making critical decisions in ambiguous situations.

Lead AI partnership strategy and execution to grow AI Frontier Labs alliances. Own alliance performance, co-sell pipeline, joint GTM and solution development, partner account mapping, enablement, marketing, and executive alignment to scale generative AI adoption and revenue.

Support financial, operational, and compliance audits by assisting risk assessment, process analysis, internal control evaluation, and audit execution. Use data analytics, automation, and generative AI tools, collaborate with stakeholders, operate in an Agile audit environment, and travel up to 15% as needed.

Lead technical strategy and hands-on engineering for large-scale data ingestion and processing platforms supporting physical AI and autonomy. Design cloud-native, streaming and batch pipelines for LiDAR, radar, video, imagery, and telemetry. Drive architecture, platform standards, CI/CD, observability, and cross-team agile delivery while mentoring engineering teams and enabling ML, computer vision, and autonomy use cases.

Lead and coordinate a team building generative AI solutions (agents, digital assistants). Provide technical direction, manage resources and schedules, enforce engineering best practices, ensure product quality, and mentor team members while delivering enterprise-scale AI systems across cloud and edge environments.

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.

The Account Executive will execute sales strategies, conduct presentations, foster customer relationships, and achieve sales targets in a fast-paced environment.

Lead and manage Data Center projects, oversee business development, act as client liaison, and ensure project delivery with exceptional standards.

As an Account Manager, you will drive new sales and renew existing contracts, leveraging consultative selling and nurturing customer relationships in the Research Intelligence sector.

The Principal Consultant drives client engagement, identifies business challenges, crafts solutions, mentors consultants, and oversees project delivery and execution.

Manage a team of attorneys handling commercial contracts related to technology and AI, advise on legal matters, negotiate agreements, and identify risks.