Top Tech Jobs & Startup Jobs in Charlotte, NC

Design and build petabyte-scale multimodal data pipelines and infrastructure (text, audio, images, video). Own and maintain systems like Spark, Ray, and vector databases, partner with pre/post-training teams to improve data recipes through experimentation, and support large-scale dataset storage and processing for AI model training.

Lead data science strategy across complex customer engagements, turn ambiguous business problems into repeatable ML solutions, define modeling and evaluation standards, drive data readiness and MLOps practices, mentor teams, produce reusable IP, and represent Microsoft in executive and thought-leadership forums.

Design, build, and ship frontend, backend, or full-stack services that leverage AI/LLMs to improve M365 user experiences. Define scenarios, architect solutions, mentor engineers, lead technical projects, and collaborate with product, design, and partner teams to deliver customer-focused innovation.

Lead regional go-to-market execution for Data & AI solution plays across SMB. Translate strategy into measurable GTM plans, drive pipeline and revenue, enable sellers and partners, coordinate cross-functional campaigns, synthesize market and field insights, and deliver operational excellence via reporting, dashboards, and standardized execution rhythms to accelerate customer adoption and partner-led growth.

Provide Tier 2/3 technical support for Dynamics 365 Finance & Operations across cloud and hybrid ERP environments. Troubleshoot complex, high-impact cases using Visual Studio, Azure telemetry, SQL and AI tooling; collaborate with product engineering, mentor peers, create knowledge content, drive process and product improvements, and ensure secure, compliant handling of customer data.

Partner with business, finance, and engineering teams to design and evaluate incentive compensation plans. Build scalable data pipelines, ML models, NLP and AI agents, and dashboards to generate actionable insights, perform scenario modeling, and ensure quota and compensation outcomes are explainable, reliable, and aligned to business goals.

Lead large-scale, cross-functional data center delivery programs by applying technical knowledge in mechanical, electrical, networking, and building automation systems. Drive pilots and transformation initiatives, implement templates and automation, design reporting for actionable insights, manage scope/schedule/budget/quality, and influence executive stakeholders to deliver on-time, on-budget data center projects.

Lead development and deployment of ML and AI solutions for global incentive and quota design. Partner cross-functionally to define quota strategy, build scalable data pipelines and models, create AI agents, evaluate model performance, ensure governance/compliance, and communicate insights to stakeholders to drive business outcomes.

Lead architecture and development of large-scale VM management and monitoring platforms for Azure. Provide technical leadership, design documentation, debugging, performance tuning, operational excellence, mentoring, on-call monitoring, and adoption of AI-assisted workflows to improve reliability, availability, security, and observability across Windows and Linux environments.

Design, develop, and optimize high-performance, low-latency networking infrastructure for large-scale AI training on Azure. Benchmark, debug, and improve scalability, reliability, observability; author design documents; act as DRI and participate in on-call operations.