Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Lead and scale a global Sales Engineering organization supporting complex enterprise cybersecurity sales. Own technical win rates, POC conversion, demos, discovery, evaluation processes, and SE performance metrics. Partner with sales leadership on pipeline, forecasting, territory planning, and deal strategy. Build enablement, tooling, playbooks, and career paths while serving as a senior technical advisor to CISOs, AI/ML leaders, and security architects. Provide customer feedback and competitive intelligence to product and engineering teams.

Build and own Keycard’s infrastructure platform, including bring-your-own-cloud deployments, multi-tenant and single-tenant cells, infrastructure as code, Kubernetes operations, releases, upgrades, observability, security guardrails, and audited break-glass workflows. Develop tooling and agents for installation, diagnostics, and operational support. Define compatibility matrices, deprecation policies, and upgrade processes while partnering directly with enterprise cloud and security teams.

Own customer relationships from implementation through ongoing operations and expansion. Lead launches, coordinate integrations, manage project plans, monitor service levels, triage issues, deliver reporting and business reviews, analyze outcomes and ROI, identify growth opportunities, and communicate customer feedback to product teams. The role requires customer success or implementation experience, project management, data fluency, LLM familiarity, and HIPAA knowledge.

Leads DoD and DoW infrastructure workstreams across capture and delivery. Develops RFI/RFP technical responses, translates mission requirements into manufacturable architectures, and executes SOWs from award through deployment and sustainment. Coordinates engineering, manufacturing, supply chain, logistics, site delivery, security, and compliance stakeholders. Owns schedules, risks, technical performance, change control, customer engagement, accreditation readiness, and deployment of modular data centers and edge AI infrastructure in classified, air-gapped, and austere environments.

Lead product strategy, roadmap execution, and measurable outcomes for an AI-enabled refinance title decisioning platform. Translate strategy into requirements, user stories, and acceptance criteria; prioritize initiatives against OKRs; and partner with engineering, data science, operations, sales, and marketing. Monitor product health, accuracy, costs, service levels, and performance through metrics and dashboards. Manage stakeholders, customer onboarding, continuous improvement, and automation opportunities across a regulated real estate workflow.

Build and scale a multi-tenant B2B SaaS product for metal recycling operations. Own data modeling, APIs, UI, UX, deployment, integrations, dashboards, and agentic data features end to end. Collaborate with operators, plant managers, the CTO, and product teams to design workflows, integrate ERP and plant data, and deliver reliable software used on the plant floor. The role is remote within the US with occasional customer-site and company travel.

Lead frontend feature releases and own user experience, performance, testing, and production health for a React and TypeScript dental practice management platform. Collaborate with backend engineers using Java Spring Boot, develop AI-powered interfaces, integrate AI tools such as Claude, participate in code reviews, improve team efficiency, and estimate development work for timely delivery.

Manage benefits administration, multi-state payroll and employment compliance, HRIS updates, leave coordination, employee records, audits, policies, handbook updates, and people reporting. Partner with brokers, payroll providers, registered agents, government agencies, and internal teams. Administer Lattice, support performance processes, answer employee questions, and automate recurring People Operations workflows while maintaining accurate, confidential, audit-ready records.

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.