Top Tech Jobs & Startup Jobs in Charlotte, NC

The Senior Business Intelligence Engineer develops and scales Power BI solutions for financial reporting and analytics, ensuring usability and performance across departments.

The Business Intelligence Lead oversees Finance data platform development, managing data pipelines in Snowflake and Databricks, optimizing SQL for reporting, and ensuring data quality and governance.

The Associate Director leads finance reporting and analytics strategy, overseeing a BI team and ensuring scalable analytics solutions across CenterWell.

Design and implement AI agents for autonomous goal management, evaluating alignment with human intent and integrating safety mechanisms while leading AI/ML system development.

Lead design and implementation of safety and alignment architectures for agentic AI systems; develop monitoring, reward modeling, and human-in-the-loop evaluation; partner with cross-functional teams for responsible deployment; publish research; identify and mitigate failure modes and set safety milestones for production readiness.

Lead development and execution of enterprise capital strategy, planning, and returns optimization. Build dashboards, governance, and board-ready materials, advise executives, monitor industry trends, and manage a small team.

Lead development of IVR solutions and omnichannel APIs on cloud platforms. Collaborate with architecture and enterprise teams, deliver POCs, influence strategy with senior leadership, and provide Tier 3 incident support to maintain resilient, customer-facing applications.

The Lead Software Engineer oversees the design and delivery of foundational services for real-time recommendations while mentoring teams and ensuring robust, auditable systems using advanced state management and transactional patterns.

The Lead Software Engineer designs and maintains a high-performance decision engine, focusing on low-latency services and robust API development while ensuring compliance and observability. Responsibilities include managing rules execution, performance engineering, and leading technical reviews.

Lead the architecture, development, and management of machine learning systems for personalized decision-making, ensuring reliability and explainability in real-time contexts.