Top AI & Machine Learning Jobs in Chicago, IL

Drives customer adoption of BrazeAI by leading workshops, diagnostics, and 2–6 week accelerators. Identifies and prioritizes AI use cases, guides customers from ideation through agent launches, resolves technical and organizational barriers, documents best practices, and advises on ROI. The role builds trusted relationships with technical and marketing stakeholders, provides AI thought leadership, collaborates cross-functionally, and supports the AMER region from New York with travel up to 25%.

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.

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.