Architect and govern Azure-based event-driven integration platforms and an AI-powered Snowflake data intelligence platform. Design APIs, routing, transformation, observability, security, semantic layers, RAG memory, inference, recommendation, and agent orchestration systems. Lead architecture workshops, roadmaps, estimates, documentation, stakeholder presentations, and engineering mentorship while ensuring compliance with financial services governance and security requirements.

Entry-level engineering trainees will contribute across the software and data development lifecycle, including requirements analysis, architecture, coding, testing, deployment, documentation, and maintenance. They will gain hands-on experience with cloud, data engineering, LLMs, prompt engineering, autonomous AI agents, ETL/ELT pipelines, distributed data systems, APIs, CI/CD, and software quality practices. The role requires collaboration, problem-solving, communication, adaptability, and full-time work from the Schaumburg office.