Top Artificial Intelligence Jobs

The Data Scientist will develop and maintain ML and NLP models, enhance data products, and support federal agency decisions using analytics.

Own end-to-end execution of customer and utility deployments, translating commercial and technical requirements into delivery plans, coordinating cross-functional teams, managing risks, and ensuring go-live readiness and performance validation.

The role involves designing and implementing OpenTelemetry solutions, optimizing telemetry infrastructure, establishing SRE practices, and managing observability across cloud platforms.

The Account Executive will manage the sales cycle, drive business growth, and collaborate across teams to meet revenue targets while maintaining customer relationships.

The Account Executive will manage the sales cycle, build partnerships, work with cross-functional teams, and drive revenue targets.

The Account Executive will manage the sales cycle, identify opportunities, close deals, and collaborate with other teams to meet revenue targets.

As a Senior Software Engineer, you will develop components for Genesys' AI platform, focusing on microservices, integrations with AWS, and ensuring scalable and resilient backend capabilities. Responsibilities include feature implementation, testing, and production deployment while collaborating with other engineering teams and product management.

The Partner Sales Manager will manage and grow indirect channel partnerships, focusing on generating partner opportunities and training partners to meet revenue goals.

The Senior Account Executive manages enterprise accounts to drive revenue growth, maintain executive relationships, and lead sales strategies for large organizations.

As the Founding Product Designer at Sandstone, you'll design core product features, establish design standards, and build a design culture in collaboration with co-founders and engineering.

The Senior AI Product Manager will develop AI solutions for sports organizations, translating their needs into high-impact products, managing the product lifecycle, and ensuring adoption and measurable outcomes.

Lead product strategy and execution for VR device and fleet management, building web-based UI and CMS to provision, monitor, and configure devices at scale. Partner with engineering, design, data science, and customers to define metrics, improve reliability, and integrate device management across Axon's ecosystem.

The Staff AI Embedded Software Engineer will lead initiatives in embedded software development for connected devices, focusing on AI integration, architecture, and mentoring teams.

The Senior Embedded Application Software Engineer II will lead architecture design, mentor team members, and develop high-stability software. They will collaborate with product and design teams to create innovative solutions for our customers.

The Technical Lead will own technical success, drive architecture decisions, mentor engineers, ensure quality, and engage stakeholders for software delivery projects.

The QA Automation Lead designs and builds test harnesses for .NET solutions, integrates testing into Azure DevOps, and advances QA practices focusing on automation and collaboration with developers and product stakeholders.

Design, build, and optimize the data layer for applications on Azure and SQL Server, focusing on database performance and mentoring others.

The Applications Engineer will support EDA-to-ATE conversion flows, optimize methodologies for semiconductor testing, and leverage AI-driven tools. Responsibilities include developing scripts, resolving integration issues, and collaborating with various teams.