Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Own recruiting searches for K-12 schools, including defining candidate profiles, sourcing and engaging candidates, conducting phone screens, and delivering evidence-based recommendations. Manage school partner relationships, communicate search progress, and maintain accurate records. Use AI-enabled recruiting tools, test product features, provide feedback to engineering and product teams, and share workflows that improve candidate quality and search outcomes.

Deploy and support computer vision systems at customer sites, including provisioning Linux edge computers, NVIDIA Jetson devices, cameras, networks, and modems. Conduct site assessments, install and validate equipment, coordinate contractors and customer IT teams, manage inventory and shipping, monitor systems, troubleshoot incidents, and document procedures. The role requires regular U.S. travel, occasional off-hours work, physical equipment handling, and clear customer communication.

Own revenue operations as a hands-on team of one, including forecasting, bookings roll-ups, GTM metrics, pipeline hygiene, weekly operating rhythms, sales commissions, deal desk activities, and compensation plans. Build AI-powered GTM tools and automations using Claude, support finance and territory planning, and provide trusted analysis to GTM leadership.

Designs, deploys, and manages secure, scalable AWS infrastructure using Terraform, CloudFormation, containers, and Kubernetes. Builds CI/CD pipelines, implements cloud security controls, monitors performance and costs, troubleshoots infrastructure and deployment issues, and supports high availability and disaster recovery. Collaborates with development and operations teams to deliver reliable cloud solutions for a Department of Veterans Affairs project.

Own enterprise sales for high-value AI software deals with major North American service companies. Responsibilities include sourcing and closing complex, multi-threaded opportunities, managing forecasts and quotas, navigating legal and technical reviews, developing executive relationships, building ROI cases, orchestrating deal teams, and expanding pilots into enterprise rollouts. The role is remote by default but requires travel for executive meetings, onsites, QBRs, and periodic headquarters visits.

Lead investor relations, capital markets engagement, fundraising, investor and Board communications, valuation analysis, and public-company readiness. Partner with the CEO, CFO, Finance, Legal, and Communications teams to shape Hello Heart’s investment story, build institutional investor relationships, support a Series E financing, and prepare the company for a potential IPO.

Secure CI/CD pipelines and cloud infrastructure through automated SAST, DAST, vulnerability scanning, IaC enforcement, container security, secrets management, and observability. The intern will use Terraform, Docker, Vault, and monitoring tools to protect applications and AI agents, collaborate with developers on vulnerability remediation, and implement security controls for Node.js, React, and LLM-based systems.

Create immersive, user-centered experiences across mobile, wearable, spatial, and emerging interfaces. Produce motion studies, wireframes, prototypes, storyboards, conceptual diagrams, and high-fidelity design artifacts. Collaborate on multidisciplinary client projects, help develop workflows and tools, share knowledge, and support immersive, interaction, visual design, marketing, and internal initiatives.

Leads a team responsible for hardware-in-the-loop verification and validation of autonomous trucks. Owns HiL strategy, roadmap, test campaigns, bench development, requirements traceability, safety compliance, defect triage, and V&V reporting. Partners with product, systems, safety, tools, and external vendor teams. Guides testing aligned with ISO 26262 and ISO 21448, including fault handling, safety mechanisms, autonomous driving systems, and performance limitations.

Lead end-to-end red-teaming campaigns against frontier AI models by defining threat models, designing attack scenarios and taxonomies, coordinating operators, and producing executive risk reports. Establish recurring testing cadences, track exploit families, measure severity and user harm, maintain dashboards, and partner with research, product, and operations teams to validate fixes and run regression tests.