Top Tech Jobs & Startup Jobs in Charlotte, NC

The Learning Experience Design Specialist designs engaging, research-based learning experiences for primary care practices, focusing on technology adoption and workflow support while collaborating across teams.

Design, implement, and support Five9-based telephony and API integrations, lead contact center platform migrations and automation, manage SIP trunking and carrier connectivity, coordinate security and vendor assessments, monitor and troubleshoot telephony systems, and evaluate emerging AI and automation solutions to modernize contact center operations.

The Sr. Roster Administrator manages complex roster workflows for payers, ensuring compliance, resolves issues, and supports operational improvements.

As a Staff AI Researcher, you will develop AI solutions, work with complex data sets, redesign systems, and implement AI/ML techniques for health improvement.

Embed with product/tech cohorts to build plugins, skills, hooks, and connectors; integrate tools via MCP Gateway and AWS; productize reusable patterns to the plugin marketplace; mentor engineers, measure adoption, and support on-call for published artifacts.

Design, build, and maintain scalable, secure AI core platform and web/data pipelines. Drive observability, auth/network integrations, runtime scalability, AI/ML infra for LLMs, mentor engineers, partner across teams, and ensure PHI security and compliance.

Design, implement, and scale web and data pipeline solutions focused on generative AI and LLMs. Improve AI/ML infrastructure for model development, training, deployment, and prompt engineering. Partner with product and stakeholders to prioritize applied AI use cases, ensure PHI security and regulatory compliance, mentor junior engineers, and contribute APIs and integrations to embed generative AI into healthcare applications.

Embed with product/tech cohorts to build and ship Claude Code plugins, skills, hooks, and MCP integrations; generalize work into reusable platform artifacts; integrate services via the MCP Gateway and AWS; support adoption, documentation, and on-call for marketplace artifacts while partnering on security, auth, and observability.

Design and build scalable, performant data ingestion systems that handle variable healthcare data formats using AI. Partner with product and engineering leaders, implement observability and CI/CD, mentor engineers, and deliver secure, maintainable solutions that accelerate onboarding of new data feeds.

Lead two adjacent engineering teams (~7 engineers) building developer-centric AI tools and production EHR browser agents. Drive delivery, hiring, onboarding, cross-team coordination, operational rhythms, and stakeholder communication while ensuring platform, security, and product alignment in regulated healthcare contexts.