Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Develop, optimize, and deploy production-grade computer vision and deep learning models for real-time perception and navigation on edge hardware. Integrate AI systems with robots, drones, unmanned systems, and swarms while optimizing inference with CUDA and TensorRT. Manage containerized deployments using Docker and Kubernetes, contribute to CI/CD and automated testing, and transition research prototypes into reliable production features.

Join as a full-stack software engineer to design, develop, and maintain web applications and services. Collaborate cross-functionally, write clean code, perform code reviews, debug issues, and stay current with industry trends.

The role involves creating and publishing daily social media content targeting Korean students preparing for TOEFL, using performance metrics for improvement.

Manage inbound lead funnel and sales pipeline, conduct discovery calls, provide tailored demos, develop business cases, and mentor new team members in a fast-growing software company.

Own and execute Decoda's content and inbound growth strategy across social, blog, SEO, and paid channels. Produce short-form video and written content, design experiments to optimize engagement and cost-per-lead, manage paid and organic performance, implement analytics and attribution (GA4, UTM), track funnel metrics, and collaborate with leadership to align content with sales and brand priorities.

Build, maintain, and improve production AI services for document understanding including LLM pipelines, background jobs, databases, and internal tools. Implement features, debug production issues, write tests, and contribute to evaluation frameworks to improve model quality and system reliability. Collaborate with a small engineering team and take increasing ownership over platform components.

Design, develop, customize and maintain enterprise Sitecore solutions (versions 9/10, SXA, JSS, XM Cloud). Produce technical specs, implement components, test and debug in test and production, support teammates, perform demos to customers, and escalate/resolve issues.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Own post-sales relationships for Fortune 500 clients, lead enterprise-scale implementations and HRIS/ATS integrations, develop executive success plans, train client teams, analyze and present ROI/KPIs, drive adoption and upsells, and represent customer needs to Product and engineering to ensure compliance and strategic impact.

Lead and scale marketing across consultancy and product studio: define positioning, run digital/social/content campaigns, implement lead-gen systems, manage internal and external teams, integrate AI and martech, track KPIs and ROI, and evolve brand voice and messaging.