Top Artificial Intelligence Jobs in Raleigh-Durham, NC

As an Enterprise Sales Executive, you will manage the sales cycle for immersive EHS/HSE solutions in Energy and Manufacturing, focusing on engagement with leaders for safer operations and improved training practices.

Design, build, and operate large-scale ML systems across data, training, evaluation, inference, and deployment. Lead GPU-optimized training and inference pipelines, ensure reliability, performance, safety, and seamless integration into products. Own production deployments, monitoring, and cross-functional best practices to drive measurable model improvements and efficient research-to-production cycles.

Lead the end-to-end ML execution: build and operate data pipelines, training and evaluation systems, and scalable inference. Fine-tune and optimize large models (LoRA/QLoRA/SFT/DPO/distillation), ensure GPU efficiency, monitor production quality, collaborate with product and application engineering, and rapidly ship reliable, safe ML solutions that translate research into production.

Lead the AI product strategy, collaborating with engineers to balance user needs and technical feasibility, ensuring quality and timely product delivery.

Develop and maintain features for a React Native VoIP mobile app, integrate native Android/iOS modules when needed, collaborate with backend engineers on APIs and real-time communications, optimize performance, debug production issues, and contribute technical insights to the product roadmap.

Own and scale a North American enterprise sales pipeline for an industrial AI platform. Drive six-figure deals into multi-site, seven-figure programs, manage complex buying cycles, negotiate end-to-end, align GTM and forecasting, partner with Customer Success and Product, and work directly with the CEO to build the US commercial presence.

Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.

Build and maintain responsive, accessible React/NextJS web interfaces and support Chrome extension development (Manifest V3). Integrate with backend APIs or WebSockets, optimize performance, write tests, perform code reviews, monitor and document extension and web app behavior, and collaborate with cross-functional teams.

Own post-sale onboarding: run initial setup calls, guide clients hands-on, answer questions, flag product issues, schedule follow-ups, and build relationships to drive customer activation and long-term retention.

Build and maintain backend services and APIs, write unit tests, debug and optimize systems, support migration from Supabase to cloud, improve reliability, and integrate AI/RPA workflows while learning under senior mentorship.

Internship role to design and implement automated testing using low-code/no-code platforms. Create, maintain, and run automated test cases, document and track defects, produce test plans and reports, improve test coverage, and communicate progress with clients and teams. Involves end-to-end responsibility from planning through deployment and incorporation of feedback.

Lead growth marketing across a studio and portfolio ventures: source contacts, run outbound sequences, build SEO-optimized content architectures, automate workflows, manage social presence, use AI for drafting, and optimize campaigns with data-driven experiments to drive customer acquisition and brand visibility.

First engineering hire to build end-to-end features across React frontends and C#/.NET (and Python) backends, work with PostgreSQL and MongoDB, integrate third-party automotive APIs, use agentic AI coding tools, and collaborate on architecture and engineering culture.

Lead end-to-end full-stack development across React frontends and compiled backends, influence architecture and data modeling, integrate third-party dealership APIs, use AI-assisted coding tools daily, set engineering standards, ship production features to live dealership users, and mentor junior engineers.

Serve as CEO's right hand to define success metrics, lead cross-functional initiatives, build internal systems and processes, analyze product and customer data, run growth experiments, manage vendors, and operationalize high-impact projects to scale the company.