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 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.

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 Manager will lead mainframe foundational products, collaborating with teams to develop the product vision, roadmap, and feature prioritization, while ensuring customer adoption and satisfaction.

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.

The AI & Experience Orchestration Director drives AI solutions in customer experience, collaborates with sales teams, and ensures successful AI implementations. This role requires strong expertise in AI, customer experience, sales strategies, and influencing others to achieve sales goals.

Design, build, and optimize Azure cloud-native applications using .NET/C#. Implement serverless, distributed architectures, data pipelines, and CI/CD. Leverage AI-assisted development tools, apply TDD and automated testing, mentor engineers, participate in architecture and DevOps, and ensure performance, security, and compliance.

Design, build, and optimize Azure-based, cloud-native .NET applications and services. Implement serverless, event-driven architectures, CI/CD, TDD, and AI-augmented development. Mentor engineers, participate in architecture and code reviews, and collaborate across Product, QA, and DevOps to deliver secure, scalable healthcare solutions.

Lead global product strategy and lifecycle for large-scale network orchestration, telemetry, and analytics products. Define technical use cases and architecture requirements, guide cross-functional teams, engage customers and partners, and deliver scalable datacenter networking solutions aligned with NVIDIAs AI infrastructure roadmap.

Design and build hands-on AI enablement assets (labs, workflows, reference implementations) that translate enterprise AI tools, policies, and guardrails into reusable technical guidance. Lead and deliver training, troubleshoot during workshops, collaborate with Security/Legal/Privacy/Platform teams, drive adoption, monitor metrics, and continuously improve enablement materials.

Lead design and build scalable data ingestion and feature pipelines for foundation models; implement data quality monitoring; model and integrate new data sources; run experiments measuring data impact; optimize ML training and hyperparameters; collaborate with ML, platform, and infra teams; lead technical initiatives and mentor team members.

The Principal Applied AI Engineer will lead the design of AI systems for finance, focusing on predictive modeling, intelligent automation, and software engineering best practices. They will oversee AI initiatives, mentor technical teams, and ensure compliance with financial standards and practices.

Apply agentic AI, multi-agent systems, and digital twins to pharmaceutical development. Design and optimize RL/MARL algorithms (MDP/POMDP), evaluate agent performance, collaborate across teams to deploy IT solutions, publish research, and communicate results to varied audiences.

Design, develop, and implement scalable, responsive UI/UX in code using Vue.js/React and TypeScript. Collaborate with AI agents to accelerate development, ensure accessibility and performance, build reusable UI systems, and integrate testing and CI/CD for rapid, stable iteration.

Lead AI adoption and integration across the organization by developing training programs, managing workshops, and establishing a community of practice. Track KPIs for AI initiatives and collaborate with various departments to enhance AI fluency.

Design and deliver high-performance, area- and power-efficient ASIC/GPU micro-architecture and RTL. Develop agentic AI solutions to craft micro-architecture, implement RTL, and produce fully verified, synthesis/timing-clean designs. Collaborate with designers and tool owners, and build LLM-powered engineering assistants, multi-agent systems, and multi-modal dialogue tools to accelerate chip design workflows.

Support and coordinate AI enablement engagements end-to-end: readiness assessments, governance, champion programs, workshops, and deployment support. Facilitate upskilling and training, build enablement artifacts, translate technical work for executives, manage multiple workstreams, and partner with clients and technical teams to drive AI adoption and sustainment.

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.

Design, build, and deploy production-ready AI solutions across enterprise platforms. Implement LLM workflows (prompt engineering, embeddings, RAG), integrate with enterprise data and SaaS systems, ensure operational readiness (monitoring, logging, performance), and partner with Security, Privacy, IT, and business teams to meet governance and compliance requirements.

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 and build the ATS Sales Enablement function, translating product capabilities into value-based sales motions and enablement assets. Partner cross-functionally with Product, Marketing, Sales, Pricing, and RevOps to support launches, create content, and measure enablement impact on pipeline and sales effectiveness.

Design and implement production-grade, AI-native full-stack features end-to-end. Own architecture, contracts, tests, UX-in-code, observability, and release readiness while orchestrating multi-agent development streams and encoding reusable skills and verification into the platform.

The Principal Enterprise Architect leads the definition and evolution of enterprise architecture strategies for AI solutions, ensuring integration, compliance, and scalability across systems while mentoring engineering teams.

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.

The AI Governance Analyst drafts AI governance policies, evaluates risks associated with AI systems, collaborates across functions, monitors compliance, and contributes to ongoing research in AI regulations.