Top Tech Jobs & Startup Jobs in Charlotte, NC

Design, implement, and ensure quality of systems stack, tools, and SDK integration for AI frameworks. Collaborate with hardware and ML teams, apply engineering principles, write low-level/high-performance code, define architecture, estimate scope, and drive coding standards.

Leads customer AI and cloud transformation by translating business priorities into secure, scalable solutions. Designs and validates cloud architectures, facilitates technical discussions, drives adoption and consumption, analyzes usage patterns, coordinates Microsoft, partner, and customer teams, removes implementation blockers, and tracks customer, project, and consumption data in CRM systems.

Designs and delivers secure, scalable Azure infrastructure and cloud solutions for customers. Leads architecture sessions, migration and modernization initiatives, AI workload enablement, proofs of concept, and production milestones. Partners with technical and sales teams, resolves blockers, improves resiliency and performance, develops repeatable solutions, and drives customer adoption and business value. Requires strong customer-facing consulting, cloud architecture, technical project, and certification experience.

Lead end-to-end program management for partner experience platforms: define roadmap, partner with engineering on architecture and delivery, drive cross-functional alignment, measure outcomes via telemetry and KPIs, manage vendors/SOWs, ensure compliance (privacy, accessibility, security), and apply AI and data to prioritize investments and improve partner experiences at scale.

Lead delivery and orchestration of Customer Success Contracts, build executive and technical customer relationships, align Microsoft cloud solutions (Azure, Modern Work, Dynamics, M365) to business outcomes, drive adoption and consumption, run program planning and reviews, mitigate blockers, manage escalations, and enable long-term retention and growth across enterprise accounts.

Lead design and development of AI/ML framework and inference software (ONNX, ONNX Runtime, Foundry Local). Provide technical leadership, mentor engineers, define requirements and design docs, drive performance, reliability, and observability improvements, act as DRI and participate in on-call operations, and collaborate across products to deliver scalable AI solutions.

Perform advanced threat hunting and deep analysis of attacker activity across on-premises and cloud environments, notify customers of imminent threats, build proof-of-concept hunting tools and automations, synthesize findings into mitigation recommendations, and drive product/tool improvements by transferring threat intelligence and investigation best practices to engineering and customer teams.

Build and maintain large-scale infrastructure for multimodal generative AI, including data processing, model pretraining, post-training, inference, and serving frameworks. Collaborate with research scientists and product engineers to resolve infrastructure challenges, optimize distributed CPU/GPU workloads, influence software and hardware architecture, and accelerate AI product delivery. The role also involves multimodal data processing, distributed training and inference, model evaluation, reinforcement learning, quantization, and technical project leadership.

Serve as a strategic operator and advisor to Windows sales leadership, translating strategy into execution, improving forecast accuracy and pipeline hygiene, leading Rhythm of Business, leveraging analytics/AI to generate insights, driving change and sales process optimization, and partnering cross-functionally to improve accountability and business performance.

Design and implement algorithms, model architectures, data mixtures, and scaling laws for large-scale foundation model training. Run and oversee large distributed training experiments, collaborate with infrastructure, data, and multimodality teams, and apply rigorous, data-driven ablations to drive flagship training runs and system improvements.