Top Tech Jobs & Startup Jobs in Charlotte, NC

Leads strategic initiatives and operational transformation across the institutional equity trade lifecycle. Responsibilities include resolving complex client issues, managing regulatory and market-structure projects, improving automation and straight-through processing, defining technology requirements, strengthening controls, coordinating cross-functional stakeholders, preparing executive reporting, and supporting audit, risk, compliance, and change-management activities.

Conduct financial crime investigations by analyzing customer and transaction data, document findings, complete SARs, escalate suspicious activity, and manage cases from intake to resolution while meeting regulatory, quality, and production standards.

Processes and reconciles Federal Reserve transactions, manages settlements, resolves discrepancies and exceptions, confirms settlements with counterparties, and supports trading, finance, compliance, and operational teams. The role analyzes settlement data, identifies risks and process improvements, assists with system testing, responds to client inquiries, and supports operational controls and training for less experienced team members.

Engineer and operate AI monitoring, guardrail, observability, and governance applications in an on-premises OpenShift environment. Responsibilities include building APIs and integrations, deploying containerized services, managing model evaluation workflows, developing Grafana dashboards and alerting, troubleshooting production systems, optimizing scalability and performance, and improving controls for agentic AI applications. The role also leads cross-functional initiatives, mentors engineers, and supports operational planning in a regulated enterprise.

Designs and builds production-ready AI products for Global Payment Solutions. Responsibilities span research, prototyping, machine learning and generative AI experimentation, RAG and intelligent-agent development, evaluation frameworks, deployment, monitoring, optimization, and ongoing improvement. Partners with product, engineering, and business teams to translate ambiguous business challenges into scalable AI solutions.

Designs, deploys, validates, and operationalizes AI/ML solutions for infrastructure reliability, forecasting, observability, automation, and enterprise decision-making. Builds models, NLP capabilities, data pipelines, APIs, dashboards, and MLOps workflows across hybrid cloud and on-premises environments. Manages the model lifecycle, including governance, validation, monitoring, remediation, and production support. Partners with engineering, operations, risk, cybersecurity, architecture, data science, and product teams while communicating technical outcomes and risks to technical and executive stakeholders.

Manage strategy, roadmaps, commercialization, and enhancement of mobile wallet, virtual card, and travel payment products. Lead cross-functional global teams, third-party relationships, business cases, requirements, stakeholder assessments, and regulatory initiatives. Serve as a virtual card subject matter expert, identify adoption and revenue opportunities, monitor product performance, and partner with sales, operations, risk, fraud, technology, and payment providers to improve client experiences.

Lead design and delivery of automation for enterprise Generative AI and analytics platforms. Build IaC, CI/CD pipelines, deployment automation, observability, and self-service provisioning. Partner with platform, cloud, architecture, security, and business teams to ensure scalable, secure, and compliant AI/data platform operations while providing technical leadership and mentorship.

Provides confidential administrative support to multiple executives, including calendar management, travel coordination, expense processing, meeting organization, correspondence, reporting, phone coverage, and meeting minutes. The role requires prioritizing competing initiatives, tracking dependencies, synthesizing information, resolving scheduling conflicts, communicating with stakeholders, and handling sensitive information professionally.

Owns the vision, roadmap, prioritization, and lifecycle of enterprise AI infrastructure supporting model development and inference at scale. Partners with technology, security, finance, audit, risk, and business stakeholders to align roadmaps, budgets, requirements, and risk management. Leads product selection, RFx activities, feature prioritization, and communication with senior leadership while overseeing product performance, inventory, lifecycle, and overall health.