Artificial Intelligence Jobs in Durham, NC

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.

Leads global procurement strategy for approximately £300 million in Data, AI, and Infrastructure spend. Develops category strategies, drives savings and business value, leads complex supplier negotiations, manages supply and compliance risks, and builds senior stakeholder and supplier relationships. Directs globally distributed procurement teams, develops organizational capabilities, and oversees strategy execution across business units and regions.

Lead Fidelity Philanthropic Services’ enterprise data program, establishing strategies, governance frameworks, stewardship models, quality controls, security practices, and accountability structures. Partner with senior business and technology leaders to drive organizational adoption, measure program effectiveness, and align data capabilities with business priorities. Develop high-performing teams and modernize data foundations supporting analytics, innovation, and emerging AI capabilities.

Leads the global sales enablement function, overseeing onboarding, continuous training, certification, account planning, sales kickoffs, and enablement strategy. Develops enterprise sales training curricula, measures program effectiveness, coaches the enablement team, and partners with Product Marketing and Product to align messaging with Tanium’s AI-driven roadmap. Requires experience managing large-scale global enablement programs and up to 10% travel.

Leads a diverse software engineering team developing complex system software and tools. Manages headcount, budgets, schedules, project delivery, vendor partnerships, risks, and process improvements. Collaborates with technical, program, executive, and AI teams to integrate AI innovations into products and processes. Oversees hiring, coaching, performance management, and career development while providing technical guidance and ensuring high-quality, on-time execution aligned with organizational roadmaps.

Leads the design, development, deployment, and governance of an enterprise AI platform on AWS and Kubernetes. Builds agentic and multi-agent workflows, secure MCP and tool integrations, identity-scoped authorization, policy controls, isolated container runtimes, audit trails, and observability. Partners with engineering, security, regulatory, product, and business teams to deliver compliant AI infrastructure, troubleshoot complex distributed systems, shape technology strategy, and mentor technical teams.

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.

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.

Leads computational agronomy workstreams from problem definition through implementation, adoption, and value realization. Develops and validates agronomic models, designs multi-location field studies, establishes scientific and reproducibility standards, evaluates AI and statistical methods, and translates complex findings into practical recommendations. Coordinates multidisciplinary contributors, mentors technical staff, reviews models and code, manages stakeholders, and advances crop, pest, disease, soil, and crop-protection decision support.

Leads the enterprise Workday platform and HR technology strategy, roadmap, governance, operational support, integrations, reporting, security, and continuous improvement. Oversees service delivery, release readiness, audit and SOX compliance, vendors, cross-functional programs, and platform-related risk. Partners with HR, Facilities, Finance, IT, Security, Legal, and Audit while leading a multidisciplinary team and evaluating AI opportunities. The role requires executive stakeholder management, strong Workday expertise, product leadership, and experience in complex regulated environments.

Leads the architecture, strategy, and implementation of applied and agentic AI capabilities for HPE private and hybrid cloud offerings. Designs production-grade AI architectures, multi-agent systems, LLMOps, AI security, governance, observability, and knowledge layers. Builds reusable AI components, optimizes large-scale AI systems, guides technology selection, and converts proofs of concept into reliable services. Influences customers and internal teams through technical workshops, reference architectures, publications, and presentations while mentoring engineers and architects.

Build, integrate, deploy, and operationalize secure AI solutions across enterprise platforms. Responsibilities include prompt engineering, orchestration, RAG implementation, enterprise data integration, monitoring, performance tuning, documentation, and governance compliance. The role partners with IT, Security, Privacy, Data, and business teams to deliver production-ready AI capabilities using technologies such as OpenAI, Anthropic, Microsoft 365, Salesforce, and ServiceNow.

Build scalable AI capabilities for Fidelity Wealth, partnering with business, product, architecture, data, and platform teams. Develop secure, reliable, production-ready solutions; apply modern software architecture, cloud platforms, testing, and design patterns; lead technical discussions; mentor engineers; and deliver end-to-end full-stack systems.

Leads the design and delivery of bespoke Generative AI and machine learning solutions for pharmaceutical and life sciences clients. Responsibilities include developing proofs of concept, guiding production deployment, leading multidisciplinary teams, mentoring staff, managing client engagements, presenting technical solutions to nontechnical stakeholders, and applying consulting principles to solve complex business challenges.

Leads a multi-year Agentic AI transformation of the Product Development Lifecycle across Product Management, Engineering, and QA. Responsibilities include assessing current processes, designing the future operating model, managing change and executive alignment, driving implementation, defining roadmaps and KPIs, and establishing governance. The role requires strategic thinking, executive influence, cross-functional leadership, project management, and knowledge of software engineering practices within a B2B technology environment.

Develop and optimize deep learning and machine learning techniques for current and next-generation NVIDIA GPU architectures. Provide GPU-based AI solutions to key customers and collaborate with architecture, research, libraries, tools, and systems software teams to shape future computing platforms and programming models. The role emphasizes parallel programming, performance optimization, AI algorithms, and low-level computer architecture.

Build and operate AI infrastructure systems, including telemetry pipelines, observability dashboards, incident-management automation, hardware and software catalogs, service ownership data models, and self-service discovery tools. Lead cross-functional infrastructure initiatives and develop AI-assisted operational tooling. The role requires production software and infrastructure expertise, programming experience, and the ability to improve reliability, visibility, incident response, and operational efficiency across NVIDIA GPU cloud environments.

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.

Own end-to-end design, implementation, testing, deployment, and production support of AI-friendly, scalable full-stack retail commerce software. Define contract-first APIs, leverage AI-assisted development tools, ensure testability, observability, security, and build reusable engineering assets and developer tooling to accelerate delivery without increasing technical debt.

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.

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.

Translate finance and legal business processes into integration requirements, workflows, APIs, data mappings, user stories, and acceptance criteria. Identify automation and AI opportunities, document current and future-state processes, support testing, and ensure governance, compliance, traceability, and stakeholder alignment across business and engineering teams.

Lead AskBio's AI and digital innovation portfolio: scout technologies, shape and prioritize use cases, own product roadmaps, lead a small delivery team, ensure GxP-compliant experimentation and adoption, and drive value realization across R&D, Technical Operations, Therapeutics, and enabling functions.

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.