Top Artificial Intelligence Jobs in Charlotte, NC

Lead clinical operations consulting engagements for health services clients: analyze operations, identify improvements, design and implement process optimization, guide strategic planning, mentor teams, ensure data integrity and compliance, and drive stakeholder engagement to achieve operational excellence.

Lead large-scale operations consulting engagements for health services clients, design and implement strategic process improvements, apply analytics and change management,coach teams, engage stakeholders, conduct market research, and drive operational excellence and business transformation.

Lead engagements to analyze and improve clinical operations for health services clients. Design and implement process improvements, change management, and data-driven strategies; mentor junior staff, engage stakeholders, conduct market research, and drive operational transformation to meet client objectives.

Lead value-led strategy for Financial Services (Insurance) accounts: develop industry-relevant value narratives, build business cases and KPIs, partner with account teams to drive pipeline and revenue, advise C-level stakeholders, and translate AI-driven transformation into measurable financial outcomes.

Underwrite Wholesale Excess & Surplus casualty policies within delegated authority, manage a broker/agent portfolio, build market relationships, analyze portfolio performance, contribute to product and process strategy, ensure regulatory compliance, collaborate cross-functionally, and mentor junior underwriters.

Underwrite and manage a portfolio of public entity and government accounts, evaluate risk and pricing, negotiate terms with agents/brokers, drive profitable growth, mentor underwriters, ensure documentation and compliance, and participate in process improvements. Requires market-facing relationship building and ~25% travel.

Conduct on-site and remote examinations of policyholdersaccounting and financial records to verify earned premium and exposures (payroll, sales, fixed assets). Prepare detailed workpapers and formal reports, communicate findings to stakeholders, manage audit scheduling and territory, perform administrative tasks, and assist with multi-location or complex audits as assigned.

Lead end-to-end biweekly U.S. payroll for salaried and hourly employees (including equity/RSUs); compile and validate payroll inputs; resolve payroll inquiries in Jira; reconcile timecards; partner with HR/Finance/Legal on employee changes; and identify automation and process improvements.

Manage an assigned book of business, drive revenue growth and renewals, upsell ancillary products, maintain client and broker relationships, support finalist sales presentations and onboarding, and coordinate internal teams to deliver client solutions and satisfaction.

Own and optimize the end-to-end marketing technology stack: roadmap, tool selection, implementations, integrations, documentation, governance, and performance metrics. Partner with IT, Sales Ops, Analytics, and Legal to ensure data flows, adoption, and ROI while supporting onboarding and ongoing optimization.

Serve as a Senior Data Analytics Consultant specializing in Dynatrace and observability to analyze digital experience data, produce dashboards and reports, advise 4–8 enterprise clients, present findings to technical and executive audiences, configure tooling, influence product roadmap, and support client enablement and account growth.

Lead technical discovery and design of hybrid and multi-cloud architectures, align solutions to business outcomes, support sales throughout the cycle, ensure security/compliance, design networking/connectivity, and coordinate public cloud specialists for deeper scoping.

Lead and continuously improve the companys SOX 404 program: design strategy, risk assessment, scoping, testing, and remediation. Partner with Finance, IT, Legal, and business owners to document controls, manage external audits, drive automation and ERP/GRC integrations, report to executives and Audit Committee, and establish policies, training, and a scalable SOX team.

Lead AI operations and governance for workplace AI: own sustainment, licensing, security, observability, model monitoring/tuning, integrations, and governance. Build and lead a team, set strategy, manage costs, and ensure compliant, reliable production AI systems.

Lead the end-to-end demand-to-value pipeline for enterprise AI: identify high-impact use cases, make buy/build decisions, drive adoption, establish baselines and ROI, and build a team to scale business-facing AI delivery while providing credible technical evaluation of ML and generative AI.

Design, build, and maintain backend services powering Clerkie's platform. Improve reliability, performance, scalability, observability, and support feature development. Participate in technical design, cross-functional collaboration, documentation, and own projects end-to-end in a fast-moving startup environment.

Build and own end-to-end full-stack features across backend services and user-facing applications. Contribute to system design, reliability, performance, observability, and engineering practices while collaborating with product and design.

Lead Zapiers security strategy for an AI-native SaaS platform. Own App and Infrastructure Security, Detection & Response, GRC, risk management, incident response, bug bounty triage, and enterprise security enablement. Partner with Product, Engineering, Legal, and GTM to embed secure-by-default design, shape AI-specific controls, support enterprise deals, and build a high-performing security engineering organization.