Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Own end-to-end embedded software program execution across firmware, drivers, bootloaders, hardware, architecture, compiler, runtime, and validation teams. Align software milestones with tape-out, silicon and board bring-up, validation, and customer delivery. Identify and resolve cross-team risks, manage schedules and operating cadence, support platform enablement, and coordinate distributed engineering teams and external partners for AI accelerator deployments.

Support onboarding, activation, and integration of Amazon/Walmart accounts; assist CSMs with campaign strategy and optimization; monitor performance, deliver dashboards and business reviews; surface actionable insights; support customer conversations and product adoption; collaborate cross-functionally to ensure executional excellence.

Design scalable accounts payable automation solutions by translating customer business requirements into technical and functional architectures. Lead discovery sessions, solution workshops, demonstrations, and technical discussions while advising customers on AI-enabled AP transformation. Collaborate with Sales, Product, Engineering, and Implementation teams to assess feasibility, document requirements, identify risks, and ensure successful delivery. Develop reusable solution patterns, improve design methodologies, and promote effective AI use across the organization.

Conduct proactive security reviews of features, architectures, integrations, and AI/ML systems. Lead threat modeling, design reviews, secure SDLC practices, vulnerability remediation, AI security governance, incident response exercises, and security automation. Support SOC 2 and ISO 27001 programs, collaborate with consultants on penetration testing and vendor assessments, and influence engineering teams on security without owning their roadmaps.

Manage inbound customer support tickets, comments, tasks, and emails for key B2B accounts. Resolve standard record retrieval, delivery, billing, and how-to questions within SLAs; identify and escalate technical issues; document tickets and account notes; monitor queue performance; and surface recurring feedback themes. The role also helps build and refine support playbooks and escalation processes in an early-stage SaaS environment.

Create and maintain HappyRobot’s visual brand across digital, social, print, physical, campaign, presentation, and advertising formats. Produce polished assets at high volume, evolve brand systems, simplify complex AI concepts through visual communication, support social growth, and build reusable templates and design libraries. Collaborate across a distributed team while integrating AI tools into design and production workflows.

Owns the C-BRAIN AI tool portfolio through product backlog management, milestone tracking, UAT coordination, vendor and contractor oversight, and technical program execution. Coordinates data engineering pipelines, infrastructure, data use agreements, compliance reviews, and external pharmaceutical, biotech, academic, and technology partners. Supports CTO working groups, technical reporting, consortium engagement, and stakeholder communications. Requires five years of progressive product or technical program management experience, external partner management, contract lifecycle expertise, and experience working with AI/ML or data engineering teams.

Provide hands-on legal engineering support to DACH customers using AI workflows: troubleshoot technical issues, create Help Center content, track adoption/ROI, and enable scalable AI adoption for legal teams.

Lead workforce capacity modeling, forecasting, and staffing strategy for Care Team operations. Build tools, dashboards, and processes to align resourcing with growth, support hiring and onboarding timelines, and analyze utilization to drive operational improvements across Care, Product, Marketing, and Finance.

The Senior ML Engineer will develop and deploy full-stack AI solutions, manage LLM integration, and collaborate closely with defense clients to enhance real-world applications in secure environments.