Top Artificial Intelligence Jobs in Charlotte, NC

Lead tech-enabled deal advisory across M&A, divestitures, and restructuring. Set strategy, guide complex transactions, identify risks and value-creation opportunities, drive AI and technology-led initiatives, maintain executive client relationships, and mentor emerging leaders.

Develop and maintain manual and automated testing strategies, frameworks, suites, test cases, and plans for web-based applications. Validate requirements, execute functional and non-functional tests, support user acceptance testing, track and triage defects, collaborate with business and development teams, establish QA best practices, and verify production implementations. The role requires expertise in Selenium, Java, TestNG, Cucumber, REST Assured, SQL, performance testing, and AI-assisted test automation.

Leads a team of Moveworks Solution Sales Executives focused on new business growth in enterprise manufacturing. Develops territory and go-to-market strategies, manages quotas, forecasts pipeline, supports major opportunity closings, and builds executive-level customer relationships. Recruits, coaches, and mentors sales staff while partnering with solution consulting, technical support, professional services, legal, marketing, and sales operations teams to achieve annual revenue goals.

Handle inbound calls and warm leads, assess customers’ insurance needs, recommend appropriate Property and Casualty coverage, and convert prospects into policyholders. The role includes paid training and licensing, customer-focused sales, schedule flexibility, and remote work requiring a professional workspace and wired high-speed internet.

Leads global IT strategic sourcing for more than $350 million in software, hardware, services, cloud, and telecommunications spend. Manages a team of commodity managers and a director, negotiates enterprise technology agreements, develops supplier and category strategies, drives cost and working-capital improvements, manages supply-base performance, and partners with IT leadership on technology sourcing, renewals, integrations, and transformation initiatives.

Supports new-agent onboarding by advancing contracts, tracking background checks and fingerprints, reviewing paperwork, resolving documentation gaps, communicating candidate status, and processing system integration forms. Provides administrative support to the Managing Partner, including phone assistance, calendaring, and executive correspondence. The role requires customer service or office administration experience, strong communication and organization, meticulous data handling, Microsoft 365 proficiency, discretion, and a compliance-focused mindset.

Own the full sales cycle for the Charlotte territory: prospect, develop relationships, structure and negotiate complex deals, deliver proposals and presentations, manage pipeline and forecasting in CRM, collaborate cross-functionally on underwriting and operations, and leverage AI tools to improve workflows and drive net-new business.

Provides architectural and technical leadership for institutional exchange systems, including matching engines, order management, market data, risk, and unified trading platforms. Leads ultra-low-latency distributed-system design, cross-team technical alignment, reliability standards, incident response, and multi-quarter initiatives. Maintains hands-on engineering contributions while mentoring senior engineers and developing technical leadership across teams.

Build and lead GC AI’s revenue operations function from the ground up. Develop go-to-market processes, hire and manage a high-performing team, select and implement operational technology, align Sales, Marketing, Product, Customer Success, and Partnerships, and optimize pipeline, forecasting, retention, deal velocity, win rates, and revenue performance through data-driven KPIs.

Own the company’s metric registry and canonical definitions, resolve conflicting metrics, enforce definitions in semantic and catalog systems, and retire redundant reporting assets. Build data quality checks, route failures to accountable owners, and evaluate AI agents against ground truth. Enable trustworthy self-service analytics through governed data. The role requires strong SQL, production ownership of a semantic or metrics layer, data catalog or lineage experience, clear documentation, and cross-functional decision-making.