Top Artificial Intelligence Jobs

The Strategic AI Customer Success Manager will oversee K-12 partnerships, ensuring effective implementation and growth of AI and Software Development programs. Responsibilities include managing relationships with district leaders, analyzing program metrics, and driving strategic improvements for educational outcomes.

The Senior Product Manager, AI will lead AI-powered initiatives, define product requirements, and collaborate with various teams to deliver compliant solutions.

The Senior AI/ML Engineer designs and implements AI/ML solutions to enhance profitability, while collaborating across teams and communicating insights to business leaders.

Lead and coordinate multi-functional teams in software engineering for NVIDIA's AI software stack, focusing on delivery execution and optimization for complex systems.

Assist customers with onboarding HPE PCAI Private Cloud AI products by providing project management, technical support, and customer engagement throughout the adoption process.

The VP, Engineering - AI Software will lead the AI software product development, strategic operations, and resource management while enhancing team performance and relationships with partners.

The role involves architecting AI and signal processing algorithms, collaborating across teams, and supporting customer engagements in wireless communications.

The Senior Product Manager drives strategy and development of AI-powered voice automation solutions, collaborating with cross-functional teams to enhance service quality and operational efficiency in healthcare settings.

The Sr. Product Marketing Manager for AI drives go-to-market strategies, messaging, and customer engagement for Genesys' AI platform, working collaboratively across departments to ensure market success and customer adoption.

The Business Systems Specialist - AI & Automation supports AI integration and automation in processes, collaborating on projects and ensuring compliance while developing solutions with MS tools.

Develop and deploy full-stack AI applications, integrating LLMs with enterprise data, and creating reusable frameworks for consulting teams.

As a Senior Software Engineer - AI Platform Engineer, you will lead projects to build reliable AI technology solutions, ensuring high-quality software development and collaboration within engineering teams.

As a Senior Product Manager, you will lead the vision for search and AI experiences, define the product roadmap, collaborate with teams, and leverage AI technology to enhance user experiences.

The Staff Software Engineer will develop maintainable code, lead system architecture, mentor others, and drive technical initiatives within the AI Platform team.

The Research Engineer will build environments for evaluation datasets, deliver custom datasets, and improve the evaluation harness based on skills and interests.

Join Rattle as an AI Software Engineer to develop AI-powered solutions for B2B revenue forecasting, tackling complex data challenges.

The Senior AI Engineer will build a platform enabling users to create intelligent agents, focusing on multi-agent frameworks and orchestration of LLMs.

As an Applied AI Engineer, you will develop advanced multimodal AI systems focused on voice interactions, ensuring compliance with financial regulations and implementing safety frameworks.

Lead the Agentic AI Pod to develop AI solutions for event marketers, creating strategies and innovative interaction paradigms while ensuring standard practices in AI implementation.

Develop production-grade applications, lead product initiatives, collaborate on UI/UX, and drive technical architecture decisions in a remote setting.

Lead research in responsible AI systems, focusing on safety and reliability. Develop ML models, collaborate with teams, publish findings, and shape industry practices.

The Director of AI GTM will lead AI integration in demand generation, develop and implement AI-driven programs, and ensure responsible AI adoption across marketing, sales, and customer success functions.

As AI Manager of Growth & Acquisition, you'll develop and scale AI-driven marketing strategies, improve conversion rates, and enhance pipeline growth through collaboration and experimentation.

Build infrastructure for AI applications, improve efficiency of distributed AI workloads, and collaborate with cross-functional teams at Databricks.

The AI Engineer will develop GenAI solutions, advise customers, collaborate with teams, and present at conferences, enhancing AI applications.