Top AI & Machine Learning Jobs in Charlotte, NC

Designs and optimizes AI-powered workflows using LLMs, agents, prompts, orchestration frameworks, and enterprise integrations. Translates business challenges into scalable multi-step workflows, manages context and memory, troubleshoots agent behavior and integrations, evaluates performance, and develops automation for testing and monitoring. Partners with business, product, technology, and operations teams while supporting AI governance, risk management, quality assurance, and responsible AI practices.

Lead end-to-end development, validation, and governance of machine learning and statistical fraud models. Analyze large-scale transaction data, engineer predictive features, evaluate model performance, and deploy solutions in distributed environments. Conduct independent validation, testing, documentation, monitoring, and effective challenge while partnering with fraud, technology, risk, audit, governance, and business teams. Present findings to technical and non-technical stakeholders, support regulatory reviews, mentor analysts, and help advance responsible AI and GenAI applications for fraud prevention.

Leads development, validation, and production implementation of machine learning and statistical models for fraud detection. Analyzes large-scale transaction data, engineers predictive features, evaluates model performance, performs independent validation, and documents governance evidence. Partners with fraud, technology, risk, audit, regulatory, and business teams while mentoring quantitative analysts and addressing emerging fraud trends.

Lead modernization of enterprise applications and systems through cloud architecture, generative AI software development practices, and software engineering automation. Design, build, test, deploy, and maintain scalable cloud solutions while addressing availability, performance, security, and cost. Establish engineering standards, resolve complex technical issues, advise stakeholders, mentor colleagues, and collaborate with infrastructure, operations, security, and senior leadership teams.