Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Own and scale Starbridge’s outbound go-to-market motion for a B2B SaaS company. Build personalized, high-volume outreach workflows using GTM tools, integrations, and no-code or low-code automations. Optimize scaled outbound strategies, leverage intent data, maintain deliverability best practices, and partner with the Chief Growth Officer to generate pipeline.

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.

Provide frontline technical support for clinicians using Ambience's AI documentation platform via Intercom, email, and PagerDuty. Diagnose and resolve complex EHR integration and user configuration issues, create and maintain Notion/Intercom knowledge resources, escalate trends to Product/Engineering/CS teams, and contribute to CSAT/FCR reporting and on-call rotations.

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.

Lead enterprise sales for the Opal platform, build and manage pipeline, run technical demos and integrations, collaborate with account management and partners, shape proposals for complex deals, and provide customer feedback to evolve the product.

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.

Builds and maintains scalable data pipelines and cloud infrastructure supporting an AI biomedical research platform. Responsibilities include ingesting, harmonizing, validating, and documenting multimodal neurodegeneration datasets; managing cloud storage, compute, permissions, and costs; implementing de-identification and data governance workflows; supporting research data repositories and AI/ML teams; and maintaining data lineage, catalogs, and technical documentation. The role requires strong Python and SQL skills, software engineering discipline, cloud experience, and neurodegeneration research data expertise.

Leads Harvey’s public-sector go-to-market strategy across federal, state, and local government legal organizations. Recruits and manages Enterprise Account Executives, owns quota, pipeline, forecasting, and strategic accounts, and builds a repeatable government sales motion. Develops procurement and security-review playbooks, partners on FedRAMP and StateRAMP/GovRAMP positioning, advances agency authorizations and contracts, and represents Harvey in the government legal and gov-tech communities.

Coach, mentor, and train early-career software engineers; run daily labs; guide project requirements and implementation; support recruiting via technical interviews; assist Engineering Manager with planning, execution, and performance oversight; maintain and evolve training materials and course integration; capture feedback and escalate performance issues.