Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Own full enterprise sales cycles for Advisor360°'s WealthTech SaaS, building C-suite relationships, aligning platform solutions to client needs, collaborating with Sales Engineering/Product/Marketing, influencing pricing and deal structure, and consistently achieving quarterly and annual revenue targets.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

Drive ASI's growth in the energy sector by developing strategies, building relationships, identifying opportunities, and aligning customer needs with product capabilities.

The Technical Customer Support Representative assists eCommerce merchants by providing technical support via phone, email, and chat, troubleshooting issues, and enhancing customer satisfaction through effective problem-solving and communication.

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

Lead end-to-end enterprise sales for an AI-native claims platform: own complex deals, shape GTM playbook, influence product roadmap, represent Vega to senior insurers, and build repeatable sales processes and mentorship.

Lead business development for Special Operations: identify mission needs, build trusted SOF relationships, shape requirements and capture opportunities through proposal and award, manage pipeline and forecasting, influence acquisition strategies, partner across internal teams, and represent NODA at demonstrations and industry events.

Integrate and manage third-party memory interface IP across SoC development, from requirements and supplier oversight through integration, compliance, testing, and silicon validation. Advise design centers, lead provider reviews, manage statements of work and issue resolution, support bids, and assist with supplier 8D actions. The role requires expertise in DDR-family interfaces, ASIC design flows, DFT, timing, packaging, customer management, and limited post-silicon travel.

The role involves performing data analysis for datacenter applications, using machine learning for GPU systems, and providing insights on trends to enhance workflows.

Manage enterprise and product vulnerability remediation from intake through resolution and disclosure. Improve vulnerability management processes, prioritize security issues, coordinate with security, engineering, and IT teams, communicate status to stakeholders, draft vulnerability disclosures, and drive continuous security improvements. The role also requires staying current with industry practices, responsible disclosure, security standards, software release processes, and emerging AI infrastructure security concerns.

Manage strategic state and local government accounts for NVIDIA’s AI and accelerated computing solutions. Own the full technology sales cycle, develop territory and account plans, build executive and technical relationships, collaborate with solution architects and channel partners, navigate public-sector procurement, forecast revenue, and achieve sales quotas. The role requires consultative selling to government organizations and travel of at least 25%.

Define and execute automotive networking technology roadmaps, develop FPGA-based prototypes, design audio, video, and data transport protocols, model in-vehicle network performance, and contribute to communications standards organizations. The role requires expertise in Ethernet protocols, TSN/AVB, PTP, MACsec, switch architectures, traffic shaping, and system modeling using tools such as OMNeT++ and MATLAB/Simulink.