Top Tech Jobs & Startup Jobs in Charlotte, NC

The AI Engineer will build AI-driven workflows, integrating customer requirements into scalable solutions while managing both front-end and back-end elements in a cloud environment.

Design and scale GenAI/LLM infrastructure for multi-GPU environments. Perform GPU profiling and optimization, manage Slurm/OpenShift/Kubernetes clusters, enable NVIDIA GPU stack, build IaC templates, CI/CD automation, and support production deployments and client engagements for GenAI workloads.

Lead cloud migration and platform engineering efforts, designing AWS architectures and migration plans from on-prem VMware to AWS. Perform migration assessments, tooling selection, wave planning, dependency analysis, security/compliance alignment, OS and database troubleshooting, and optimize post-migration performance while collaborating with stakeholders and platform teams.

Lead application migration and modernization initiatives to AWS, utilizing cloud-native practices and providing technical leadership for development teams.

Seeking a Senior Data Scientist to lead predictive analytics and machine learning initiatives. Responsibilities include building ML models, data management, and mentoring junior data scientists. Must have expertise in AWS and strong statistical knowledge.

As a Technical Program Manager, you will lead AI/ML initiatives, ensure project delivery, manage stakeholders, and align technical strategies with business objectives.

The Sales Leader will drive AI and data services for AWS clients in the CPG sector, maintaining executive relationships and leading sales initiatives.

Manage and expand insurance accounts, driving growth through AI and cloud solutions, while collaborating with internal teams and maintaining client relationships.

The Strategic Account Manager will drive growth in healthcare accounts, build executive relationships, and manage sales cycles while offering AI, cloud, and data solutions.

Lead the design and implementation of a unified observability platform, focusing on architecting observability pipelines and implementing tools like Prometheus and Grafana on AWS.