Top Artificial Intelligence Jobs

Design, develop, and maintain network and security infrastructure. Architect, deploy, and support firewalls, VPNs, authentication, IDS, and encryption. Manage Checkpoint/Solaris/Cisco environments, ForcePoint/WebSense and MS TMG. Perform patching, capacity planning, vulnerability remediation, automation via PowerShell/Linux scripting, vendor case management, disaster recovery, and controls verification.

The intern will develop a reliability platform focusing on dynamic testing, observability, and optimization for AI applications. Responsibilities include customer collaboration, core infrastructure development, and creating user-friendly tools for developers.

Join Scissero's talent pool to get priority access to open roles across legal, AI/tech, and go-to-market functions; receive event invites, updates, and early consideration.

Outbound-focused SDR responsible for prospecting named defense firms and carriers via calls, email, and LinkedIn to book qualified demos. Maintain CRM hygiene, hit monthly meeting metrics and show rates, iterate on sequences and lists with marketing, and support pipeline handoffs to Sales. High-activity role with coaching and path to Account Executive.

Own and build the US sales pipeline for Terrific: identify and prospect brands, retailers, agencies and partners; run discovery; develop proposals, pilots, and negotiations; close new recurring revenue; collaborate with Customer Success, Product, and Marketing to scale opportunities and improve GTM strategy.

Lead global sales and RevOps to drive sustainable revenue growth for a music-focused B2B SaaS. Set GTM strategy, own revenue targets, coach and scale the sales organization, improve forecasting and CRM hygiene, close strategic enterprise deals, and align Sales, Marketing, Customer Success and Product to increase conversion, expansion, and retention.

Build and scale an agentic AI stack for healthcare revenue cycle: implement voice AI pipelines, LLM orchestration, integrations with EHRs/RCM systems, real-time analytics, dashboards, and production-grade full stack features working closely with founders and customers.

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Build and maintain the AI-powered learning platform across a TypeScript/React frontend and Python/FastAPI backend. Integrate LLMs for classification, extraction, personalization, and conversation practice. Design scalable APIs, develop real-time interactive features, apply AI-assisted development workflows, write well-tested code, and collaborate with product, design, and education teams to optimize learning experiences and A/B tests.

Build and maintain data pipelines and core robotics software to support teleoperation, training, deployment, and simulation. Write high-performance systems code (C/C++/Rust), prepare datasets for ML training, improve simulation workflows, and collaborate cross-functionally to increase reliability, performance, and automation of deployed robots.