Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Lead system safety engineering for defense-oriented autonomous ground vehicles. Perform hazard identification, risk analysis, FMEA, FTA, and related assessments; define safety architectures, requirements, concepts, and verification activities; support testing and technical reviews; apply safety standards such as MIL-STD-882E; lead safety working groups; mentor engineers; and collaborate across hardware, software, AI, robotics, and systems teams.

Lead the strategy, roadmap, and execution of an AI-driven B2B SaaS platform for government contracting. Translate RFP and customer needs into prioritized product enhancements, collaborate with AI research and cross-functional teams, apply agile methodologies using Jira, and drive successful product launches and adoption.

Lead a team building turbopuffer’s user-facing features, including dashboards, documentation, SDKs, observability, alerting, insights, and billing. Design and implement end-to-end developer experience improvements across web interfaces and the core database. Manage and grow a team, support hiring, help customers optimize workloads, and communicate complex concepts clearly. The role requires product-minded engineering leadership, strong web application experience, SaaS expertise, UX sensitivity, and technical people management.

Design and build Python APIs, agentic AI frameworks, LLM-powered clinical documentation systems, and EHR integrations. Evaluate and improve AI output quality for real-world clinical workflows, collaborate with physicians and customers to resolve documentation issues, and contribute across the platform’s full stack. The role requires strong Python, LLM, API, testing, and communication skills, with Google Cloud Platform and Firebase experience preferred.

Own positioning, messaging, go-to-market, launches, content, customer research, and sales enablement for model APIs, serverless compute, and dedicated capacity. Translate technical capabilities into customer value, collaborate with Product, Engineering, Growth, Ecosystem, and Sales, and optimize qualified demand, conversion, and product usage. The role requires technical B2B product marketing experience, strong writing, launch leadership, commercial judgment, and understanding of AI inference and GPU deployment models.

Design, build, and optimize scalable data pipelines using Databricks, PySpark, SQL, Delta Lake, and lakehouse architecture. Collaborate with analytics, product, and engineering teams while developing batch and streaming workflows, integrating data warehouse systems, and using cloud platforms and orchestration tools such as Azure, Airflow, ADF, or Prefect.

Lead enterprise AI deployments from discovery through production rollout. Define scopes, success metrics, integration plans, and deployment strategies; coordinate customers, Product, and Engineering; track risks, remove blockers, support launches, monitor deployed agents, drive improvements, and identify expansion opportunities. The role requires customer-facing technical communication, stakeholder management, comfort with ambiguity, and hands-on execution across AI-powered system deployments.

Design clear, intuitive workflows for legal professionals researching cases, reviewing evidence, and evaluating AI-generated work. Responsibilities include interviewing lawyers, translating complex processes into interactions and prototypes, creating polished interfaces, designing source inspection and correction experiences, and collaborating with engineers to implement and refine design patterns. The role is a part-time contract position requiring strong UX, visual design, prototyping, and experience simplifying information-heavy professional tools.

Perform image segmentation and object labeling for computer vision datasets using polygons, bounding boxes, and semantic segmentation. Follow annotation guidelines, complete quality checks, meet daily productivity targets, communicate unclear tasks to team leads, and suggest workflow improvements. Work remotely with datasets involving roads, vehicles, satellite imagery, blueprints, roofing, and related visual content.

Drive net-new business growth for humanitarian software by generating outbound and inbound pipeline, qualifying prospects, leading discovery, coordinating demos, managing proposals and procurement, closing customers, and supporting onboarding handoffs. The role owns the full B2B sales cycle, develops sales processes, manages long-running opportunities, and sells to humanitarian aid, nonprofit, and NGO organizations.