Top Artificial Intelligence Jobs

Design, build, and operate core cloud platform components for real-time IoT, energy, and telematics applications. Own features end-to-end, ensure reliability, scalability, maintainability, and performance, and collaborate cross-functionally while working independently to drive delivery.

Founding researcher to develop and evaluate memory architectures and continuous-learning systems for enterprise messaging. Run experiments on offline workspace data, design systems, ship features, and publish research; work balances theory, applied evaluation, and product-focused execution.

Own full enterprise sales cycle for physical AI platform: drive net-new business and expansions, manage complex seven-figure deals, build executive relationships, inform GTM/product strategy, meet quarterly revenue targets, and maintain CRM/account plans.

Lead North America go-to-market: define ICP, build outbound sequences and sales assets, run full-cycle enterprise deals, attend industry events, and feed product insights to engineering while standing up the GTM tech stack and automations.

Lead complex customer implementations of a core accounting platform from kickoff through go-live, guiding configuration, overseeing ERP/GL data migrations, validating financial workflows and reports, escalating issues, collaborating with Product and Engineering, improving implementation playbooks, and transitioning customers to support.

Design, build, test, and maintain production-ready, scalable API services and platform solutions using microservices and containerization. Collaborate with engineers, Data Engineers, CloudOps and Product to deploy and operate services on cloud platforms, ensure observability and readiness, and participate in Agile lifecycle activities.

Lead finance strategy and reporting: build financial models, analyze drivers of spend and growth, support fundraising and due diligence, partner cross-functionally, implement financial systems, and communicate with CEO and board.

The Senior Data Engineer is responsible for building AI-driven healthcare automation systems, managing data workflows, and ensuring accurate reporting, particularly in healthcare claims processes.

Build core product and infrastructure, ship end-to-end features across the stack, develop data ingestion and multimodal representation systems, implement LLM-based agentic systems and other AI approaches, and act as a technical leader mentoring engineers while defining technical vision and culture.

Technical individual contributor leading design and implementation of scalable backend services, data and analytics infrastructure, integrations, and AI/LLM-powered features. Own system performance, reliability, observability, CI/CD, and data pipelines. Mentor engineers, define architecture, and partner with product and AI teams to deliver production-ready, data-intensive analytics capabilities.