Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Handle inbound calls and warm leads, assess customers’ insurance needs, recommend appropriate Property and Casualty products and coverages, and convert prospects into policyholders. Representatives receive paid training and licensing support, work remotely, maintain customer-focused sales conversations, and meet schedule and work-from-home technology requirements.

Develop and optimize AI and machine learning algorithms, models, and scalable Python systems. Transform raw data into actionable insights, apply machine learning libraries and NLP techniques, improve data quality, and deliver automation solutions for clients. The role also involves complex data analysis, stakeholder collaboration, client relationship management, and navigating ambiguous business challenges.

Build and maintain data pipelines integrating laboratory instruments, automation systems, operational platforms, APIs, robotics, databases, and files. Develop SQL transformations, data models, validation checks, orchestration, monitoring, and alerting to support analytics, dashboards, troubleshooting, and AI systems. Document infrastructure and datasets for regulatory compliance while collaborating with engineering, laboratory operations, data science, and automation teams. This is an on-site role with on-call and occasional weekend or holiday support.

Serves as chief of staff and strategic partner to a senior Sales leader, setting priorities and driving execution. Leads cross-functional sales transformation, productivity, process improvement, competitive response, and organizational change initiatives. Develops executive presentations and data-driven recommendations, aligns Sales, Marketing, Product, Finance, and business partners, and maintains scalable sales processes and playbooks. Leads and mentors Senior Managers and Managers while ensuring initiatives deliver measurable results.

Design, develop, deploy, and support scalable cloud-native applications and APIs using Java, Spring Boot, and Azure. Build AI-powered solutions for dental claims, attachment processing, and image intelligence. Participate across the software development lifecycle, including coding, testing, deployment, production support, optimization, and automation. Collaborate cross-functionally, conduct code reviews, apply DevOps practices, evaluate emerging technologies, and mentor junior engineers.

Develop functional verification strategies for sophisticated Arm SoCs and compute subsystems. Create test plans, SystemVerilog/Verilog testbenches, and tests; verify PCIe/CXL, DDRx/LPDDRx, HBM, performance, and SoC RTL integration. Debug failures, improve verification methodologies, collaborate on architecture and microarchitecture, support emulation platforms, and guide junior engineers. The role also involves coordinating project activities, plans, and schedules with Project Management.

Leads six frontline managers and 30+ Account Executives in expanding existing enterprise accounts, driving net retention, cross-sell adoption, and multi-year renewals. Coaches teams on expansion selling, executive reviews, relationship development, forecasting, and account health. Sponsors major renewals and complex negotiations while partnering with Customer Success, Professional Services, and Product teams. Requires extensive software subscription sales leadership experience, strong SaaS and retention-metric expertise, and executive communication skills.

Leads global event technology strategy and execution across complex programs. Owns platform integrations, configuration, data flows, governance, operational readiness, and onsite delivery. Manages agencies, vendors, budgets, forecasting, and resources while coordinating stakeholders across Marketing, IT, Sales, Finance, Sourcing, and other teams. Drives project planning, risk mitigation, process improvement, innovation, and scalable attendee experiences across multiple concurrent workstreams.

The Manager of Supply Chain & Manufacturing will lead projects in CMC, provide strategic guidance, and manage client engagements while mentoring teams.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.