Top Tech Jobs & Startup Jobs in Charlotte, NC

The Credit Officer II manages the credit process for a portfolio, negotiates documentation, leads approval processes, and provides advisory solutions in commercial banking.

The Principal Engineer will lead the engineering approach for Stablecoin solutions, ensuring high-quality development and delivery of complex features and technology. Responsibilities include overseeing design, managing technical standards, and collaborating across multiple teams to achieve business outcomes.

Develop quantitative models for risk management, focusing on volume forecasting and capacity planning, while adhering to Model Risk Management standards.

Develop and deliver AI/ML solutions, mentor engineers, and design reusable toolkits for Gen AI RAG capabilities ensuring compliance and maintainability.

Lead design and delivery of a next-generation wire payment processing platform on AWS. Define program-level engineering approach, design complex features, guide technical enablers, ensure end-to-end test strategy, mentor engineers, and coordinate with business, operations, and vendors to deliver secure, compliant, scalable payment solutions.

Lead design and delivery of a next-generation wire payments platform. Architect scalable backend solutions, mentor engineers, enable CI/CD, integrate messaging systems, and ensure regulatory compliance while driving technical strategy and high-quality implementations.

Oversee audit work, manage SOX testing, lead audit strategies, mentor associates, and enhance control environments while maintaining relationships with business partners.

The Senior Data Engineer will design and build AI capabilities, manage data pipelines, and lead engineering practices while mentoring team members in a fast-paced environment.

Lead strategy and execution for airline and hotel programs, manage supplier relationships and contracts, drive performance analytics and compliance, support travel policy governance, and implement travel technologies while partnering with stakeholders and senior leadership.

Design and execute enterprise AI and data architecture, establish AI control frameworks and governance, assess vendor/platform control maturity, embed Responsible AI across model lifecycle, and partner with Risk, Compliance, InfoSec and technology teams to ensure secure, compliant AI adoption.