Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Responsible for independently administering, patching, optimizing, securing, and supporting Oracle and Microsoft SQL Server databases in complex distributed environments. Duties include incident response, deployment support, monitoring, performance tuning, backup and recovery, disaster recovery planning, high availability, documentation, and compliance. The role requires technical leadership, extensive troubleshooting expertise, and familiarity with Oracle Enterprise Manager, RMAN, Oracle clustering, and SQL Server high-availability technologies, preferably in banking or financial services.

Conduct outbound prospecting across U.S. pharmaceutical, biotech, and CDMO manufacturers through cold calls, personalized emails, LinkedIn, and other channels. Research prospects, engage decision-makers, qualify opportunities, schedule discovery meetings, maintain HubSpot CRM records, and build pipeline for Account Executives. Collaborate with sales leadership and the CEO while developing expertise in enterprise SaaS, pharmaceutical manufacturing, and complex B2B sales.

Build and scale Euler’s AI-native PRM platform across the front end and back end. Develop React and Next.js applications, Python and Node.js services, CRM and partner-tool integrations, AWS and Cloudflare microservices, REST APIs, and deployment workflows. Collaborate with engineering and AI teams, apply secure coding practices, maintain CI/CD pipelines, and ship scalable features while working US East Coast hours.

The role focuses on advancing DevOps solutions, collaborating with teams, and addressing client challenges while enhancing technical skills.

Creates B2B marketing content across sales collateral, digital ads, blogs, ebooks, and white papers. Researches buyer personas, applies SEO best practices, collaborates with sales and marketing, maintains brand consistency, monitors industry trends, supports content promotion, and analyzes performance metrics. The role also offers experience with content tools, marketing automation, social media, and video editing.

Own and evolve BYOC deployment infrastructure for Archie across customer environments. Build and operate Kubernetes-based systems across multiple clouds, develop Helm and GitOps deployment tooling, implement secure updates for restricted networks, and improve reliability, observability, and production operations. Collaborate with product, research, and forward-deployed engineering teams to translate requirements into scalable platform capabilities.

Build and deploy customer solutions for mortgage lenders, including API and loan origination system integrations. Write production Python and SQL, troubleshoot technical issues, resolve problems in real loans, guide customers through technical decisions, and collaborate with engineering, support, and sales. Own projects from customer discovery through production, improve integration tooling, and translate customer feedback into product enhancements.

Owns the administration, optimization, scalability, monitoring, reliability, and architecture of PostgreSQL, MongoDB, and Databricks environments. Responsibilities include performance tuning, schema configuration, observability, autoscaling, capacity planning, production troubleshooting, maintenance, high availability, disaster recovery, incident response, and data analysis support. The role designs resilient, cost-efficient data platforms at very high volumes and partners with engineering, analytics, and product teams.

Lead and scale a global Sales Engineering organization supporting complex enterprise cybersecurity sales. Own technical win rates, POC conversion, demos, discovery, evaluation processes, and SE performance metrics. Partner with sales leadership on pipeline, forecasting, territory planning, and deal strategy. Build enablement, tooling, playbooks, and career paths while serving as a senior technical advisor to CISOs, AI/ML leaders, and security architects. Provide customer feedback and competitive intelligence to product and engineering teams.

Build and own Keycard’s infrastructure platform, including bring-your-own-cloud deployments, multi-tenant and single-tenant cells, infrastructure as code, Kubernetes operations, releases, upgrades, observability, security guardrails, and audited break-glass workflows. Develop tooling and agents for installation, diagnostics, and operational support. Define compatibility matrices, deprecation policies, and upgrade processes while partnering directly with enterprise cloud and security teams.