Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Lead onboarding and product discovery for utility customers: run and systematize onboarding, translate customer workflows into product requirements, prioritize features, write MRDs/PRDs/TRDs, coordinate cross-functional delivery, and create repeatable processes to turn pilots into scalable deployments.

Lead WellTheory’s engineering organization as a player-coach, overseeing hiring, team development, technical direction, architecture, DevOps, reliability, compliance, AI-enabled development, and engineering processes. Partner with product and design on roadmap decisions while remaining hands-on in TypeScript and JavaScript codebases. Own engineering practices supporting HIPAA, SOC 2, and HITRUST requirements in a fully remote digital health company.

Build and maintain scalable JavaScript applications, API integrations, and open-source projects for global clients. Responsibilities include writing and reviewing code, debugging across frontend, backend, database, and network layers, optimizing performance, designing scalable architectures, handling concurrency, documenting technical work, and addressing edge cases. The role is fully remote and includes structured technical growth, peer feedback, and an assessment process involving an OSS hackweek.

Own enterprise healthcare accounts from signature through renewal and expansion. Drive adoption, utilization, executive engagement, new product pilots, ROI measurement, QBRs, account strategy, and commercial outcomes. Build trusted relationships with clinical, operational, financial, and IT leaders, negotiate contracts, develop champions, and create repeatable account-management frameworks. The role requires up to 30% travel for customer events, stakeholder meetings, and QBRs.

Designs and maintains automated, AI-enabled detection and response capabilities across enterprise security platforms. Integrates SIEM, EDR, SOAR, and threat intelligence technologies; analyzes security telemetry; develops and validates detection content and automation workflows; documents procedures and runbooks; and collaborates with SOC, threat intelligence, and incident response teams. The role also evaluates emerging security capabilities and supports continuous improvement of detection operations for a federal agency.

Own success across a portfolio of health system customers by measuring product value, defining KPIs, producing executive reports, leading QBRs, coordinating implementations, supporting renewals and expansions, and developing Partner Success playbooks. The role requires executive communication, healthcare AI fluency, analytical problem-solving, solution design, project leadership, and approximately twice-monthly customer travel.

Create and execute Instagram and LinkedIn content for trip-specific and between-trip engagement, including reels, posts, stories, annual content calendar, platform management, and monthly analytics reporting to support a luxury travel brand.

Leads end-to-end deployment of cloud-based emergency communications platforms for public safety agencies. Responsibilities include technical implementation planning, system configuration, testing, integrations, go-live support, stakeholder coordination, customer handoffs, training, issue resolution, and post-deployment optimization. The role partners with engineering, DevOps, product, implementation teams, customers, and public safety stakeholders to deliver secure, resilient solutions.

Owns administration, development, governance, upgrades, integrations, and support for ServiceNow and related business systems including NetSuite and Arena PLM. Builds workflows, scoped applications, automations, APIs, and system integrations; maintains data quality and CMDB integrity; supports testing and production releases; and partners with operations, service, engineering, supply chain, and finance stakeholders to deliver scalable solutions.

Own and evolve a secure, cloud-native internal developer platform for a federal health mission. Responsibilities include Terraform and GitOps foundations, multi-tenant Kubernetes on AWS GovCloud, self-service onboarding, MLOps/AIOps, data lakehouse enablement, observability, security automation, compliance artifacts, documentation, and stakeholder partnership. The role requires senior ownership of production platforms and offers opportunities for technical leadership.