Artificial Intelligence Jobs in Durham, NC

The role involves leading technical expertise in control systems and safety devices, ensuring compliance, developing standards, and training staff, with a focus on innovation and customer needs.

Lead multi-site facilities operations and supplier performance, manage budgets and real estate portfolio, drive projects and regulatory compliance, and partner with stakeholders to ensure safe, efficient workplaces.

Lead end-to-end delivery of custom technology solutions across supply chain functions (planning, manufacturing, warehouse, logistics, merchandising). Define architectures and roadmaps, identify agentic AI use cases, guide development/testing/deployment, lead cross-functional teams, manage scope/timelines/budgets, and run client workshops to translate technical solutions into business outcomes.

Lead principal for CFD and physics-based simulation focusing on CFD, fire/explosion, refrigerant leakage, battery thermal runaway, combustion, multiphase flows, and electronics cooling. Own V&V strategy and model credibility, enforce ASME/NASA/Oberkampf & Roy best practices, drive test-to-simulation correlation, mentor engineers, produce technical reports for certification, and guide global teams on validated modeling approaches for safety-critical applications.

The Technology Consultant will deliver technology solutions for Supply Chain and Manufacturing, focusing on data strategies and digital transformation across enterprises. This role involves leading projects with modern technologies and mentoring teams for continuous professional development.

The Senior Product Owner leads product development for Mainframe solutions at Broadcom, collaborating with cross-functional teams to deliver features based on customer needs and product roadmaps.

Lead vision, strategy, and roadmap for Open Mainframe Solutions (Zowe and related tools). Advocate customer needs to R&D, prioritize features, unblock cross-functional teams, drive GTM and adoption, measure KPIs, and maintain executive and customer relationships to ensure product success.

Lead EHS strategy and implementation for a North Carolina Greenfield site, embedding safety into design and construction, ensuring regulatory compliance, deploying automated safety tools, supporting cross-functional teams, managing EHS programs, reporting KPIs, and engaging contractors and leadership on EHS performance.

Design and scale AI-powered sales enablement experiences: architecture for generative AI, RAG, AI agents, content discovery, guided selling, coaching automation, governance, pilots, integrations with enablement/CRM/LMS systems, and measure adoption and business impact.

The AI Resilience Fund Manager will build and manage a fund focused on AI-resilient investments. Responsibilities include developing the investment thesis, raising capital, and advising investors on risk-adjusted strategies for a long-term portfolio.

Support the Corporate AI team by gathering requirements, mapping processes, evaluating AI tools, managing intake and KPIs, and producing clear documentation to turn ideas into measurable AI solutions.

Lead enterprise sales and go-to-market for NVIDIA AI and accelerated computing with Lenovo: develop technical understanding, package joint solutions, co-market/co-sell across channels, build ecosystem partnerships, and drive integration, commercialization, and thought leadership.

Design and scale production infrastructure for LLM-powered agents and copilots. Build reliable, high-performance services, APIs, CI/CD, and integrations; collaborate with research and hardware teams; mentor peers and drive continuous innovation in agentic AI applications.

As a Senior AI Platform Engineer, you will architect AI-driven systems, develop CI/CD pipelines, and optimize infrastructure for AI workflows.

Research, design, and implement foundation models for machine-generated and graph data; develop distributed training and inference pipelines; collaborate with engineering and product teams to productionize models; evaluate new AI/ML techniques and drive MLOps, monitoring, and model optimization to improve scalability and reliability.

Apply machine learning to real-time graphics and interactive experiences: develop models from latest research, prototype applications, collaborate across teams, and productize neural graphics features for gaming and visualization.

Lead the end-to-end transformation of a ligand-binding bioanalytical lab to a digitally orchestrated, automated operation. Design and deploy automated workflows, integrate instruments and digital platforms (LIMS/ELN), manage change and validation, lead a multidisciplinary team, define product backlog and agile rhythms, and drive adoption, training, and inspection readiness.

Lead development of advanced analytics and AI-driven product insights to measure and improve product ROI, cost, quality, utilization, and member outcomes. Build, test, validate, and operationalize predictive models and algorithms, prepare analytical datasets, ensure data and model quality, and partner with product and business leaders to translate results into strategic recommendations and scalable AI/ML-enabled workflows.

Lead go-to-market strategy for Tanium Atlas and AI-powered automation and governance within the Autonomous IT platform. Define positioning and messaging, engage customers and market to inform product direction, create high-impact content and sales enablement, drive launches and competitive intelligence, and collaborate cross-functionally to increase awareness and adoption.

As a Senior Software Engineer focused on AI agents, you'll develop core agent architecture, handle complex workflows, and work with large sales data to automate processes and support the sales cycle.

The Senior AI/ML Applications Engineer will develop, integrate, and support AI-driven tools for IC design and verification, focusing on agentic AI methods to enhance productivity.

Lead design and engineering of enterprise AI-powered automation using n8n as an orchestration platform. Build scalable, secure API-first and event-driven integrations, AI-enabled workflows and agents, CI/CD and governance, observability, and reusable automation frameworks. Provide technical leadership, mentor engineers, and drive platform standards and operational excellence.

Define and drive enterprise AI automation architecture and governance for scalable, secure, API-first and event-driven workflows. Create reusable automation patterns, influence cross-functional roadmaps, mentor engineers, and ensure measurable operational and business outcomes.

Translate complex business workflows into implementation-ready requirements for AI-enabled automation and agentic workflows. Map current/future-state processes, define APIs, triggers, data mappings, acceptance criteria, and governance. Collaborate with AI Automation Engineers, architects, and stakeholders to ensure scalable, auditable, and measurable AI automation solutions and support delivery, testing, and continuous improvement.

Design, build, and operate customer-facing AI systems across the full product lifecycle: discovery, prototyping, deployment, monitoring, and scaling. Translate ambiguous problems into technical specs, partner with product, and ship production-grade AI solutions with attention to maintainability and customer impact.