Top Tech Jobs & Startup Jobs in Chicago, IL

Lead the architecture and delivery of an enterprise AI platform supporting LLM and agentic workloads. Design multi-tenant Kubernetes infrastructure across Azure and GCP, GPU capacity, Terraform modules, CI/CD, GitOps, security controls, model-serving services, and governance. Mentor a platform engineer, lead architecture reviews, advise client stakeholders, and establish operational standards for production AI infrastructure.

Operate and improve a self-hosted AI platform across customer Kubernetes environments. Responsibilities include Helm and GitOps deployments, stateful service reliability, incident response, SLOs, capacity planning, Terraform infrastructure across major clouds, CI/CD automation, security controls, troubleshooting, and customer support. The role also develops runbooks, documentation, and automation while supporting private, air-gapped, and regulated environments.

Build and operate enterprise AI platforms across Azure and GCP, including Kubernetes clusters, Terraform infrastructure, CI/CD and GitOps pipelines, GPU workloads, model gateways, vector databases, tracing, and evaluation services. Develop reference agents and LLM application templates, support application teams integrating workloads, troubleshoot platform reliability, automate operations, and create runbooks. The role requires Chicago office attendance three days weekly and up to 20% domestic travel.

Build and maintain Databricks-based batch and streaming data pipelines for an enterprise AI platform. Responsibilities include lakehouse modeling, governance, data quality, unstructured document ingestion, chunking, embeddings, vector search, and LLM evaluation datasets. The role deploys cloud infrastructure on Azure or GCP, applies testing and CI/CD practices, and partners with AI and platform engineers to deliver secure, reliable data for retrieval-augmented generation systems.