Top Tech Jobs & Startup Jobs in Chicago, IL

The Lead Engineer will oversee AI agent development, ensuring quality and compliance, and collaborate with business teams on AI projects.

Lead end-to-end AI programs by translating business needs into technical requirements, aligning stakeholders, performing data discovery and EDA, managing data wrangling, and ensuring AI initiatives deliver measurable ROI.

Lead QE-focused sales and client relationships to win and deliver multi-million-dollar QE transformation deals. Drive presales, RFP responses, solution and pricing strategy, executive stakeholder management, thought leadership, and QE practice growth.

The Agentic AI Lead/Architect will define AI architecture on Azure, lead design of AI automation use cases, and mentor engineers.

Lead modernization and design of applications, architecting cloud-native systems, optimizing APIs, and ensuring security and scalability for enterprise applications.

The Machine Learning Engineer will develop software solutions, optimize data pipelines, and deploy machine learning models using cloud platforms and best practices.

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

The Databricks Architect is responsible for designing and implementing scalable data solutions, optimizing performance, and leading initiatives within a dynamic team environment.

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.