Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Own strategic enterprise deployments of production agentic AI systems, including multi-turn voice and digital agents, retrieval pipelines, integrations, guardrails, monitoring, evaluation, and ROI measurement. Support pre-sales demonstrations and proof-of-concept builds while translating customer feedback into product and engineering roadmap improvements. The role requires hands-on production coding, customer-facing technical leadership, and comfort operating in an emerging forward-deployed engineering function.

Lead Wonderly’s customer sales enablement and calling operations. Build and enforce in-home sales playbooks, improve contractor close rates, oversee lead-calling and quote follow-up teams, hire sales talent, and transfer practical remodeling-sales expertise across hundreds of home-service businesses. The role requires operating in a fast-changing startup environment with significant autonomy, frequent context switching, and approximately 60-hour workweeks.

Own MagicSchool’s People Operations infrastructure, HR systems, data architecture, employee lifecycle workflows, and IT onboarding/offboarding. Lead the PEO transition, establish contingent workforce administration, manage the Canadian EOR relationship, and build scalable processes and reliable reporting across HRIS, payroll, compensation, and employment data.

Create and optimize high-quality, mobile-optimized character shaders and material workflows in Unity URP. Develop master materials, tools, and editor extensions (C#). Profile and debug performance on iOS/Android, collaborate with artists on look development, and ensure efficient rendering across mobile devices.

Lead enterprise Alation deployments for regulated industries by diagnosing data and AI governance gaps, advising executives, running discovery and adoption workshops, demonstrating the platform, and connecting governance outcomes to measurable business value. Own implementations from kickoff through outcomes, define KPIs, support expansion opportunities, present executive business reviews, and improve delivery methodologies. Requires deep data management and industry expertise, consulting leadership, and approximately 15–30% travel.

Analyze datasets to generate reports and visualizations that inform business decisions. Produce regular reporting, create data visualizations, and work cross-functionally to support data-driven strategies with attention to accuracy.

Own enterprise customer relationships and the day-to-day success of AI engineering deployments. Partner with customers and field deployment engineers to resolve issues, prioritize work, capture use cases, shape product roadmaps, and drive account expansion. The role requires technical and commercial fluency, direct experience with enterprise AI deployments, and substantial customer-site travel.

The Senior Fullstack Software Engineer will design, implement, and maintain features for Conveyor's SaaS platform, involving both backend and frontend work, while collaborating closely with team members and mentoring juniors.

Build and ship end-to-end features for a restaurant operating system, lead architecture and technical execution, define product roadmap with cross-functional teams, and maintain high-quality CI/CD and productionized systems.

Work across AI, backend, and frontend: curate and clean writing datasets, fine-tune large language models, run training experiments, develop metrics and eval sets, build backend services in Python/Django, and implement frontend features with React.