Top AI & Machine Learning Jobs in Chicago, IL

Own the ML platform powering production training pipelines, model serving, deployment, orchestration, observability, and multi-region scaling. Drive major infrastructure initiatives, improve reliability and cost efficiency, lead incident response, collaborate across teams, and set the technical vision for ML operations. The role is hands-on, requiring production distributed-systems expertise, Kubernetes and cloud infrastructure knowledge, technical leadership, mentoring, and strong communication.

Lead end-to-end machine learning initiatives for Braze’s Predictive and Generative AI team. Design, train, deploy, and operate predictive models, distributed training and serving systems, customer-specific model pipelines, and high-throughput prediction APIs. Set technical direction and quality standards, drive cross-team initiatives, mentor engineers and data scientists, and connect ML platform decisions to customer and business outcomes.

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.

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.

Design and operate AI agents and decision-support systems for GTM workflows. Embed in field motions, translate stakeholder research into prioritized backlogs, ship and iterate on production solutions, monitor adoption and quality, and scale reusable intelligence across revenue teams.