Top Artificial Intelligence Jobs

As the Strategic & AI Partnerships Lead, you will drive growth through managing critical partnerships, executing strategic initiatives, and negotiating deals in the AI and commerce sectors.

As an AI Deployment Strategist, you will help enterprise customers build and scale GenAI solutions, manage project delivery, and drive client strategy and growth while collaborating with cross-functional teams.

The Operations Leader will oversee strategic partnerships, financial performance, and operational excellence at GE Vernova's AI Foundry to drive AI transformation.

The Cloud Engineering Manager will lead a team focusing on developing and optimizing Machine Learning models and training environments, ensuring efficient GPU resource management and collaboration across teams.

The AI Product Manager will lead the design and implementation of AI-driven workflows for enterprise customers, ensuring successful adoption and value delivery through effective collaboration and communication.

Manage the entire recruiting lifecycle, partner with hiring managers, optimize search strategies, and provide excellent candidate care and experience.

The AI Underwriting Data Manager will lead a team to innovate digital underwriting features, manage data vendor relationships, and oversee budgets and product roadmaps.

The Account Executive will drive new business, develop sales pipelines, build customer relationships, and improve sales effectiveness in a fast-paced startup.

The Product Manager will write specifications, collect feedback, analyze markets, manage product roadmaps, and support customer success teams.

As an Account Executive, you will lead and negotiate sales, build relationships with customers, and support sales targets in a fast-paced startup environment.

The AI Systems Architect will develop and integrate AI capabilities in HR technology, collaborating with various stakeholders to ensure effective implementation while managing standards and monitoring market trends.

Lead AI solution development and deployment for Fortune 500 clients, addressing complex business challenges while managing multidisciplinary teams and driving AI adoption.

The Senior .NET Developer will design architecture for high-loaded applications, develop functionalities, implement components and services, and ensure quality control.

The Principal Product Engineer will lead product development from concept to production, working across frontend and backend technologies while mentoring other engineers. Focus areas include AI tools, user experience, and delivering high-impact features.

Design and optimize high-performance AI systems for the CUDA ecosystem, collaborating across the AI stack and with various teams to push innovations into products.

Develop and optimize AI systems and frameworks for CUDA, collaborating with teams across the software and hardware landscape. Engage in agentic systems design, performance optimization, and high-fidelity evaluations.

Design, develop, and optimize hardware architecture for next-gen AI memory solutions, ensuring seamless HW/SW integration and performance analysis.

The AI/HPC System Architect will design advanced AI and HPC systems, leveraging memory solutions, guiding architecture, and collaborating with stakeholders for proof of concept.

The AI Infrastructure Architect will build and evolve AI infrastructure for Okta's identity solutions, collaborating cross-functionally, ensuring security, and implementing MLOps practices.

The Senior Marketing AI Initiatives Manager will lead AI-driven solutions for marketing initiatives, managing portfolios, executing projects, and measuring business value. This role requires collaboration with various marketing teams to enhance productivity and buyer experiences.

The intern will develop AI agents for security audits in blockchain, focusing on LLMs and threat detection, and assist in research.

Design and build backend and AI systems for a product data intelligence platform, ensuring data accuracy and integration across millions of products.

Design and optimize AI and content components for gameplay, mentor teams, and ensure technical excellence in game design.

The Software Engineer - AI will design backend and AI systems, focus on data ingestion, develop orchestration flows, and optimize backend systems for scalability.

Lead the Applied AI Engineering team, mentor engineers, drive development of AI agents, and ensure delivery of enterprise-ready solutions through strategic direction and collaboration.