Top AI & Machine Learning Jobs in Charlotte, NC

Build AI workflows, agents, and customer-facing web experiences that accelerate website production and improve conversion. The role involves optimizing Contentful-based processes, configuring chat, enrichment, voice AI, and personalization tools, running experiments, establishing AI guardrails, monitoring performance, and training marketing teams on reusable AI systems. Collaboration spans Web Platform, CRO, SEO, product marketing, legal, privacy, and brand teams.

Lead the technical vision and execution for Toast IQ, an AI platform using LLMs and agentic workflows. Manage and mentor engineering teams, establish AI architecture and toolchain standards, maintain internal developer platforms, translate strategy into roadmaps, and deliver scalable backend, web, and mobile experiences. Partner with Product and Design to create customer-focused AI capabilities while balancing experimentation, quality, and platform stability.

Design, build, deploy, and maintain resilient, scalable backend services and platform components for Toast's Voice AI platform. Lead cross-cutting architecture and projects, integrate AI platforms (LLMs), implement observability and evaluation for AI systems, set engineering standards, and mentor engineers.

Build and productionize agentic workflows, RAG pipelines, AI services, backend systems, and ML pipelines for sales automation. Integrate Salesforce, quoting engines, data lakes, and internal platforms using scalable, event-driven architectures. Lead 0-to-1 development of tools for account research, lead prioritization, and quoting while ensuring reliability, observability, performance, and resilience across the GTM technology stack.

Lead design and delivery of scalable ML systems across the full lifecycle for recommendations, demand forecasting, targeting, and personalization. Collaborate with engineers, product, and stakeholders to set architecture, metrics, and production best practices; mentor data scientists; lead experimentation and deploy/monitor models using cloud and MLOps tooling.