Top Tech Jobs & Startup Jobs in Charlotte, NC

Provide mechanical engineering domain expertise to create and review technical content used to train AI systems: review documents, develop and assess questions/solutions, give written and oral feedback, collaborate cross-functionally, resolve complex engineering problems, and improve data quality while working independently.

Provide subject-matter expertise in personal financial planning and wealth management to train and evaluate AI-driven advisory tools. Review client scenarios, give structured written feedback, translate complex financial concepts into client-friendly guidance, ensure compliance with regulatory and fiduciary standards, and contribute to improving AI recommendations for investment, retirement, estate, and debt-management planning.

Lead integration of AI-driven tools into tax provision, planning, and multi-jurisdictional compliance. Design ML/analytics solutions for sales and payroll tax, enhance regulatory filings, support audits, and collaborate with finance, legal, and technology teams. Monitor tax regulation changes, document AI tax models for transparency and governance, and continuously refine models for scalability, reliability, and compliance.

Drive net-new enterprise IT services revenue by owning full sales lifecycle: prospecting, executive engagement, solution positioning, collaboration with presales/delivery, pipeline management, and closing multi-year managed services, application modernization, and digital transformation deals to meet $5M–$10M annual targets.

Develop and support customized Acumatica ERP solutions using the Cloud xRP Platform, C#/.NET, T-SQL, APIs, workflows, dashboards, and reports. Translate business needs into technical specifications, build integrations, conduct testing, troubleshoot issues, document solutions, and collaborate with clients, analysts, project managers, and technical teams. The role also provides technical guidance, manages multiple assignments, and supports continuous improvement.

Lead Microsoft Dynamics 365 Business Central implementations from discovery through go-live, including requirements gathering, solution design, configuration, testing, training, and deployment. Advise customers, facilitate workshops, manage stakeholders, resolve functional issues, and collaborate with technical and product teams. The role also contributes to consulting methodologies, process improvements, automation, and AI-enabled implementation practices. Travel is approximately 20–25%, primarily for customer meetings and strategic project milestones.

Lead Microsoft Dynamics 365 Business Central implementations from discovery through go-live, including requirements gathering, solution design, configuration, testing, training, and deployment. Advise customers, facilitate workshops, resolve complex functional issues, manage stakeholders, and support project delivery. Collaborate with technical, product, and implementation teams to improve methodologies, identify automation and AI opportunities, and develop scalable solutions and best practices.

Evaluate and improve AI-generated fund-related legal work by drafting, reviewing, negotiating, and redlining fund documents; develop evaluation frameworks and scoring rubrics; collaborate with product, research, and engineering teams to refine AI training data and legal guidelines; identify contractual risks and provide expert legal feedback.

Part-time contractor M&A attorney to draft, review, negotiate, and redline transaction documents; evaluate AI-generated legal outputs; develop evaluation frameworks and scoring rubrics; provide subject-matter expertise to improve AI training data and legal analysis; collaborate with product, research, and engineering teams to refine legal guidelines and best practices.

Part-time contractor role evaluating and training AI for contract review. Draft, review, negotiate, and redline commercial technology agreements; assess AI-generated contract responses; develop evaluation criteria and scoring rubrics; collaborate with product, research, and engineering teams to improve AI legal workflows and identify contractual risks.