Artificial Intelligence Jobs in Durham, NC

Leads global, cross-functional Services Engineering programs focused on product supportability, serviceability, telemetry, automation, AI, cost optimization, operational efficiency, and customer experience. Translates business needs into technical requirements, establishes support processes, manages senior stakeholders, and coordinates teams of more than 20 resources across countries. Drives change, improves service delivery, mentors team members, and delivers measurable outcomes across Engineering, Product Management, Operations, Enablement, and business units.

Develop product and AI roadmaps, analyze market and partner insights, align cross-functional stakeholders, lead IT planning, establish KPIs, allocate resources, and improve product lifecycle workflows. The role drives strategic transformation and product speed to market within Cisco’s global partner ecosystem.

Supports business-critical applications by investigating and resolving production incidents, analyzing logs and data, coordinating with technology teams, and communicating with stakeholders. Develops support documentation, analyzes incident trends, contributes to root cause and problem management, improves application observability, and identifies automation opportunities. Uses tools such as Splunk, SQL, Tableau, Power BI, ServiceNow, and Power Automate to improve operational support and reporting.

Recruiter responsible for full-cycle technical and engineering hiring, including talent sourcing, pipeline development, stakeholder advising, interview design, debrief facilitation, hiring strategy, onboarding partnership, and candidate experience. The role also supports employment compliance, uses AI tools and data to improve recruiting workflows, and advises leaders on talent acquisition practices. Preferred experience includes hiring AI, machine learning, data science, and AI infrastructure professionals.

Leads solutions and portfolio marketing for diagnostic services, overseeing positioning, value propositions, scientific narratives, competitive intelligence, sales enablement, portfolio KPIs, and strategic planning. Partners with Product Management, Sales, Medical, Science, and Customer Marketing to accelerate adoption and growth. Manages and develops Portfolio Marketers while applying AI to marketing workflows, evidence synthesis, monitoring, dashboard commentary, and sales enablement execution.

Leads solutions and portfolio marketing for reproductive diagnostics, including positioning, scientific narratives, sales enablement, competitive intelligence, KPIs, dashboards, and strategic planning. Partners with Product Management, Sales, Medical, Science, and Customer Marketing to accelerate portfolio growth and customer adoption. Manages and develops Portfolio Marketers while using AI tools and agents to improve research, analysis, messaging, monitoring, and enablement workflows.

Leads product and portfolio lifecycle strategy for emerging diagnostic segments, including roadmap development, forecasting, pricing, market access, commercialization, business cases, partnerships, launches, and acquisitions. Uses scientific, regulatory, competitive, customer, and AI-generated insights to guide portfolio decisions, improve profitability, and align cross-functional teams across marketing, operations, R&D, and market access.

Delivers executive, customer, partner, analyst, and sales briefings featuring Toshiba retail technology solutions. Develops presentations and demonstrations, translates technical capabilities into business value, coordinates hosted events, and manages Executive Briefing Center operations. Responsibilities include agenda development, scheduling, logistics, catering, customer communications, demonstration environment readiness, stakeholder coordination, briefing records, and process improvements. The role supports customer relationships, sales pipeline growth, brand positioning, and high-touch customer experiences.

Leads AI networking channel growth across HPE’s Campus and Branch portfolio by activating partners, generating pipeline, developing opportunities, and driving revenue. Provides technical guidance, solution positioning, competitive differentiation, partner enablement, workshops, proofs of concept, and managed-services readiness. Collaborates with account managers, engineers, distributors, business units, and regional teams to execute sales initiatives, increase AI networking and software adoption, support competitive displacement, and influence partner investment and go-to-market strategies.

Leads enterprise technology strategy, portfolio and investment governance, value management, TBM, architecture oversight, and operating-model transformation. Establishes frameworks connecting technology spending, capacity, roadmaps, and business outcomes. Oversees the Enterprise Portfolio Office, Value Management Office, portfolio platforms, business cases, benefits realization, and investment analytics. Advises executives, drives cross-functional alignment, and leads organizational change toward product-, platform-, and value-stream-based funding and governance models.

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.

Lead legal counsel for AI and machine learning matters, advising engineering and product teams on intellectual property, regulatory compliance, contracts, privacy, open-source licensing, product design, and risk mitigation. Develop AI/ML legal playbooks, compliance processes, training, and IP protection strategies while collaborating with cross-functional stakeholders and presenting emerging risks to executives and the Board.

Leads portfolio-level product management across HPE Hybrid Cloud, integrating roadmaps, dependencies, governance, and execution across business units. Oversees the Product Management Council, drives AI-enabled product development lifecycle adoption, leads product management transformation, and advises executives on portfolio priorities, risks, customer outcomes, and delivery decisions.

Provide advanced technical support for NVIDIA Ethernet switching and AI infrastructure products. Troubleshoot Linux, server, hardware, operating system, networking, installation, interoperability, and operational issues for enterprise customers. Analyze protocols and packet captures, lead critical issue resolution, collaborate with Engineering, Marketing, and Support, and develop support methodologies and documentation. The role focuses on data center, HPC, networking, and AI infrastructure environments.

Leads client assurance for Fidelity’s AI program by addressing customer and prospect inquiries, communicating AI capabilities and governance practices, overseeing technical and risk-related responses, identifying process improvements, and contributing to AI governance committees. Serves as a senior subject matter expert across AI engineering, data science, privacy, security, model lifecycle, responsible AI, and risk management.

Leads strategic HR partnership for executive business areas, advising Vice Presidents on workforce planning, organizational design, succession, talent strategy, leadership effectiveness, culture, and change management. Uses workforce data, analytics, business insight, and AI-enabled tools to identify risks, influence decisions, and improve organizational performance. Partners with HR Centers of Excellence and drives measurable outcomes in productivity, leadership capability, talent strength, and business execution.

Develop system-level performance models and simulation frameworks for AI workloads, software runtimes, and hardware architectures. Model SoC components, memory systems, and interconnects; analyze bottlenecks and architectural tradeoffs; and evaluate latency, throughput, scalability, and energy efficiency. Collaborate with hardware architects, software engineers, and ML teams to support hardware-software co-design and guide next-generation AI compute platform decisions.

Develop and optimize GPU-accelerated generative AI training and inference workloads on NVIDIA platforms. Collaborate with developers, academia, and internal engineering teams to improve algorithms, frameworks, low-level libraries, hardware, and software performance. Analyze CPU and GPU architectures, contribute to open-source projects, and communicate innovations through technical publications and conferences.

Develop core libraries and tools for scalable agentic applications. Responsibilities include optimizing agent frameworks and harnesses, benchmarking performance, improving latency and cost, integrating RAG systems and vector databases, supporting GPU workflows, designing cross-language APIs, debugging runtime internals, and collaborating with open-source communities. The role also involves building evaluations, observability, middleware, guardrails, and other systems that improve agent quality, developer productivity, and deployment reliability.

Build AI-powered finance applications using Databricks, Python, LLMs, and governed financial data. Develop tools for variance commentary, financial close checklists, reconciliation, FP&A, natural-language data exploration, and financial analysis. Partner with finance stakeholders, measure adoption and productivity gains, and maintain governance separating AI recommendations from financial controls. The role requires software engineering, finance process knowledge, and experience with Databricks, LLM applications, finance systems, and production-ready applications.

Leads platform-wide performance, scalability, and resilience engineering across edge devices, in-store servers, and cloud services. Defines performance models, load-testing strategies, capacity plans, infrastructure sizing, resilience patterns, observability requirements, and customer-facing system behavior. Builds virtualized performance environments and uses AI-enabled validation to detect regressions, evaluate failure scenarios, and automate production-readiness testing.

Build, configure, test, and deploy AI agents, assistants, and workflow automations for client engagements. Translate business requirements into practical AI solutions, document governance and risk considerations, create reusable assets, and support discovery and implementation. Train nontechnical users, facilitate workshops, support adoption and change management, and communicate technical concepts clearly. The role requires managing multiple engagements, staying current with AI tools, and working across regulated environments.

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.

Architects and develops secure, scalable AI/ML systems and MLOps infrastructure across distributed cloud environments. Builds model training, inference, monitoring, governance, adversarial robustness, federated learning, and multi-agent safety capabilities. Designs agentic workflows, data and ETL pipelines, model lifecycle automation, and high-performance serving systems. Evaluates reliability and security under real-world and adversarial conditions, collaborates with cybersecurity and cloud teams, and mentors engineering teams on advanced machine learning and secure development practices.

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.