Top Tech Jobs & Startup Jobs in Charlotte, NC

Build and operate an AI-native platform spanning Kubernetes, infrastructure as code, CI/CD, identity, networking, security, compliance, observability, and cost management. Develop reusable platform modules, delivery pipelines, policy gates, isolated client environments, and AI development tooling. Lead through hands-on engineering, architecture decisions, design reviews, migrations, documentation, and developer enablement while ensuring reliability, security, and measurable developer outcomes.

MBA interns analyze corporate performance, business models, cost reduction, revenue growth, and profitability opportunities in high-impact client situations. They research industry trends, synthesize qualitative and quantitative data, conduct research and client interviews, develop fact-based strategic recommendations, create presentation materials, and guide analysts as needed. The role involves collaborative client work, extensive travel, and occasional work outside normal business hours.

Lead high-stakes client engagements to improve performance, drive cost reductions and revenue growth, structure and deliver measurable results, develop business, mentor teams, and produce client-ready analyses and presentations in fast-paced environments.

Lead AI/ML consulting engagements: design and implement ETL, data modeling, predictive models, anomaly detection, distributed data pipelines, and executive-ready visualizations. Drive business development, mentor teams, and deliver client-facing solutions in hybrid/onsite environments.

Lead high-value, complex consulting engagements to improve corporate performance, drive cost reduction, revenue growth and profitability. Manage and deliver client-facing workstreams, synthesize analysis, develop client-ready presentations, lead negotiations, mitigate project risks, and support proposal development while mentoring teams and fostering stakeholder relationships in fast-paced, hybrid environments.

Lead AI/ML consulting engagements, build and deploy machine learning models and ETL pipelines, analyze large datasets, design data architectures, deliver visualizations, drive business development, and manage client-facing teams in high-stakes situations.