Top Artificial Intelligence Jobs in Raleigh-Durham, NC

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.

Build and operate infrastructure for evaluating coding agents and language models. Design end-to-end features spanning data models, APIs, background workers, and UI; run sandboxed trials; score and aggregate results; improve benchmark quality checks; integrate models and agents; and maintain performance, reliability, concurrency, migrations, tests, and code quality.

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.

Build and maintain scalable batch and streaming data pipelines, analytics warehouses, transformation layers, and dimensional data models. Perform SQL-based analysis, support dashboards and reporting, monitor data quality and delivery SLAs, troubleshoot incidents, and improve operational reliability. Collaborate with engineers, analysts, data scientists, and business stakeholders while contributing to documentation, governance, observability, and automation.

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.

Own customer relationships from implementation through ongoing operations and expansion. Lead launches, coordinate integrations, manage project plans, monitor service levels, triage issues, deliver reporting and business reviews, analyze outcomes and ROI, identify growth opportunities, and communicate customer feedback to product teams. The role requires customer success or implementation experience, project management, data fluency, LLM familiarity, and HIPAA knowledge.