Top Tech Jobs & Startup Jobs in Chicago, IL

The Delivery Manager will lead complex Lead-to-Cash transformations, manage client engagements, design AI-driven solutions, and mentor junior staff.

Lead cloud and integration architecture end-to-end for production AI systems: design secure AWS-hosted services, define integration contracts and patterns, guide implementation, unblock developers, coordinate with client architects and vendors, maintain architecture governance and delivery progress.

Design, deploy, and govern enterprise-scale data architectures and platforms to support analytics and AI. Define modeling standards, integration pipelines, data quality, lineage, and security. Lead technical direction, mentor engineers, evaluate AI tooling, and support proofs of concept and solution roadmaps that enable generative AI and RAG solutions.

Design, build, and operate scalable data pipelines and platforms (Snowflake, Databricks, Delta Lake). Implement dbt models, semantic layers, data quality, orchestration (Airflow/Dagster/ADF), and DevOps for data. Build AI-enabled pipelines for RAG, embeddings, vector stores and integrate LLMs into ETL. Ensure reliability, monitoring, and cost-effective cloud architectures across AWS and Azure.

Drive revenue by selling AI solutions and consulting services to PE portfolio companies and Fortune 1000 accounts while managing complex sales cycles and building relationships with decision-makers.

The AI Software & Data Engineer will design and build full-stack systems, data platforms, and AI prototypes, integrating AI capabilities for enterprise solutions.

Design and build modern data pipelines and AI-ready platforms using Snowflake and AWS services, ensuring high-quality, accessible data for analytics and ML applications.