Top AI & Machine Learning Jobs in Charlotte, NC

Lead enterprise adoption and scaling of AI and advanced analytics by designing AI frameworks, financial governance, unit economics, and risk-aligned policies. Partner with Technology, Finance, Product, Risk, and LOBs to build ROI-driven models for cloud and AI platform consumption, advise on GenAI/LLM architectures, and drive companywide AI strategy and implementation.

Lead strategy and operations for Fargo, Wells Fargo's AI-powered digital assistant. Drive portfolio governance, OKRs, executive advisory, cross-functional alignment (Product, Tech, AI, Risk), executive communications, and performance reporting to accelerate customer engagement and operational goals.

Lead architecture and delivery of cloud-native, AI-powered Financial Crime platforms. Design GenAI/agentic solutions (investigator copilots, alert triage, entity resolution), establish engineering standards, migrate legacy systems to microservices/event-driven platforms, operationalize ML models, mentor engineers, and collaborate with product, risk, and data science stakeholders to drive modernization and regulatory-compliant risk detection.

Lead strategy and operating model for digital, mobile, and cross-channel analytics. Build and manage analytics teams, drive measurement frameworks, automation, BEV and glass-box diagnostics, and embed analytics into product and business decision-making to improve customer experience and performance.

Lead product definition and delivery of AI-powered solutions for Secure Network Services. Maintain backlog, translate requirements into user stories, prioritize work, collaborate with engineering and governance teams, measure KPIs, and ensure compliance, model governance, and operational validation.

Lead product strategy and execution for an enterprise predictive AI platform across the AI lifecycle. Partner with business, engineering, data science, risk, security, and governance to modernize platform capabilities, drive adoption, prioritize features, evaluate technical readiness, and deliver scalable, compliant predictive AI solutions.

Lead design, development, deployment, and support of enterprise MarTech platforms using Pega and AI-native agentic solutions. Build RAG/LLM/agent workflows, integrate vector DBs and enterprise systems, implement AI engineering best practices, ensure governance/compliance, troubleshoot complex integrations, mentor engineers, and advise leadership on large-scale technical strategy.

Design, deploy, and operationalize production AI/LLM and RAG solutions for enterprise risk analytics. Build agentic workflows, prompt libraries, APIs, and dashboards to detect emerging risks, support governance and compliance, and provide executive reporting. Lead cross-functional initiatives and mentor analysts to establish scalable AI-driven risk monitoring and data governance capabilities.

Develop and validate quantitative models and automated trading algorithms for securities trading. Conduct research on trading cost, liquidity, risk models, portfolio construction, and signal generation. Collaborate with stakeholders, present model results, and implement process improvements while adhering to regulatory and risk frameworks.

Support Technology Risk Management by applying AI, data, and advanced analytics to identify emerging risks, build scalable automation and reporting, support AI governance, centralize data, and enable enterprise-wide, data-driven risk oversight.