Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Reposted One Month AgoSaved
Remote
United States
160K-180K Annually
Senior level
160K-180K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Software
The Enterprise Account Executive drives revenue through high-value contracts, managing complex sales processes and relationships with executive stakeholders in financial services.
Top Skills: AIAnalyticsCloud-Based Technology SolutionsMachine Learning
Reposted One Month AgoSaved
In-Office or Remote
7 Locations
Junior
Junior
Artificial Intelligence • Hardware • Machine Learning • Robotics
As a Founding Operations Manager, you'll oversee field operations globally, manage deployment partnerships, lead field teams, and ensure reliable data collection under real-world conditions.
Top Skills: HardwareLogistics SystemsOperational Tooling
Reposted One Month AgoSaved
Remote
United States
95K-115K Annually
Mid level
95K-115K Annually
Mid level
Artificial Intelligence • Edtech • Information Technology • Software
The role involves building and scaling backend services, designing APIs, optimizing database performance, and communicating with customers to improve product quality.
Top Skills: DjangoPostgresPythonReactTypescript
Reposted One Month AgoSaved
Remote
USA
Senior level
Senior level
Artificial Intelligence • Software • Analytics • Financial Services
Lead development of AI-powered full-stack applications, mentor engineers, define technical direction, build performant front-end and scalable backend services, integrate LLMs/RAG, and establish engineering best practices for production AI workflows.
Top Skills: AWSAzureGCPLlmsNode.jsPythonRagReactTypescript
Reposted One Month AgoSaved
Remote
US
Mid level
Mid level
Artificial Intelligence • Cloud • Security • Software
The Account Executive will manage the sales cycle, drive business growth, and collaborate across teams to meet revenue targets while maintaining customer relationships.
Top Skills: Cybersecurity
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Reposted One Month AgoSaved
Remote
NC, USA
Mid level
Mid level
Artificial Intelligence • Software
Manage and grow client relationships by generating leads, cold calling, negotiating rates, educating clients on translation services, coordinating with production, and ensuring delivery quality and client satisfaction.
Top Skills: CRMMS Office
Reposted One Month AgoSaved
Remote
USA
Expert/Leader
Expert/Leader
Artificial Intelligence • Information Technology
Contract SME to design end-to-end commercial lending workflows, produce reusable artifacts (workflow maps, persona maps, document/data matrices, credit-package models, policy/approval logic, playbooks, validation rubrics), assess product readiness, and advise on where AI can safely support lending and servicing processes.
Top Skills: Core Banking SystemsCRMDocument RepositoriesLosReporting WorkflowsSpreading Tools
Reposted One Month AgoSaved
In-Office or Remote
2 Locations
Mid level
Mid level
Artificial Intelligence • Software
The Systems Engineer will architect and implement solutions for queueing systems and state stores, improve throughput and latency, and collaborate with teams to enhance the user experience.
Top Skills: AWSBare MetalClickhouseGCPGoGraphQLGrpcK8SKafkaPostgresPubsubRedisRest
Reposted One Month AgoSaved
Remote or Hybrid
3 Locations
Senior level
Senior level
Artificial Intelligence • Cloud • Computer Vision • Healthtech • Software
Lead sourcing, negotiating, and closing strategic channel partnerships (consulting firms, device/PMS vendors, distributors). Own partner-sourced pipeline, revenue targets, forecasting, and partner activation—including onboarding, training, and cross-functional launch. Manage partner relationships, run business reviews, and coordinate with Sales, Marketing, Product, and Legal to scale partnerships.
One Month AgoSaved
Remote
United States
128K-205K Annually
Senior level
128K-205K Annually
Senior level
Artificial Intelligence • Financial Services
Lead strategy and execution for Lending Originations products to improve applicant experience and new-loan conversion. Define roadmap, set OKRs, run experiments, partner with Engineering, Design, Data, Risk, Fraud, Legal and Compliance, and drive products from discovery through launch, measurement, and iteration while balancing member outcomes, regulatory requirements, and business performance.
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