Top Tech Jobs & Startup Jobs

Lead enterprise architecture strategy for healthcare payer organizations, including AI solutions, API management, integration, security architecture, application rationalization, and technical-debt reduction. Translate business strategy into scalable architectural roadmaps, govern complex system designs, evaluate technology options, and lead improvement initiatives. Advise stakeholders, mentor architects and technical teams, facilitate design reviews, and ensure solutions align with enterprise standards, security, operational, and business requirements.

Develop proprietary foundation models, fine-tune domain-specific models, and architect multi-agent systems with autonomous reasoning, tool calling, and advanced RAG. Build curated and synthetic datasets for pretraining, alignment, and benchmarking. The role requires deep generative AI expertise, including LLM development, agent frameworks, foundation model architecture, and production-grade RAG pipelines, along with proficiency in modern model training, inference, vector infrastructure, and data technologies.

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.

Leads data discovery, profiling, quality assessment, and Source-to-Target Mapping for wealth management data platforms. Analyzes complex financial datasets using advanced SQL, documents business rules and transformations, translates requirements for ETL and data engineering teams, supports data governance and testing, and communicates findings to technical and business stakeholders.

Leads data discovery, profiling, quality assessment, and Source-to-Target Mapping for enterprise wealth management platforms. Analyzes client, portfolio, transaction, holdings, performance, and billing data using advanced SQL; documents business rules and transformations; partners with ETL and data pipeline engineers; supports data governance, validation, testing, and stakeholder communication.