Top Artificial Intelligence Jobs

The AI Platform Engineer is responsible for building and managing Kubernetes-based AI infrastructure, ensuring security, optimizing performance, and collaborating with teams to enhance platform capabilities.

As an AI/ML Ops Engineer, you will architect and operate ML pipelines, automate CI/CD processes, and collaborate with cross-functional teams to enhance engineering productivity.

Lead the design and deployment of GenAI and ML systems, focusing on multi-agent architectures, cloud environments, and production-grade solutions.

The Senior Director of Engineering for Applied AI will lead AI-driven initiatives, build the AI engineering function, and oversee system lifecycle and collaboration across teams.

As a Product Manager at Descript, you'll lead AI model initiatives, drive product strategies, and collaborate with cross-disciplinary teams to enhance video editing experiences.

Develop scalable full-stack systems for an AI financial agent, build APIs, manage data pipelines, and collaborate on agent integration.

The role involves managing and scaling a team of AI Deployment Managers to deploy OpenAI products, ensuring technical operations and customer success.

The Senior Software Engineer will design, build, and maintain data infrastructure and processing systems, ensuring robust data pipelines and collaborating with stakeholders on data discovery and lineage initiatives.

The Partner Solutions Architect will drive technical engagement with systems integrators, maintaining relationships with stakeholders to ensure successful AI solutions deployment and delivering strategic guidance.

The Software Engineer (Back End) develops server-side logic and functionality for the Blueflame AI platform, focusing on database management, API development, security implementation, and performance optimization in collaboration with other teams.

The role involves managing training infrastructure, implementing distributed training algorithms, and collaborating with AI researchers on model training.

The Business Development Representative will engage in lead generation and nurturing relationships with potential customers, focusing on C3 AI's products and solutions.

As a Research Intern, you will work on AI/ML projects, contributing to the development of the Nebula LLM and applying machine learning techniques to real-world problems.

As a Senior Software Engineer at Astronomer, you will build intelligent systems, design data modeling components, and experiment with applied AI technologies while collaborating with R&D teams to enhance data workflows.

The Senior Manager, AI and Data Science will lead the development of AI solutions, collaborate across functions, and implement machine learning models to support biomedical applications, focusing on healthcare data integration and operational efficiency.

The Business Architect will integrate AI into business processes, educate stakeholders, and manage AI-related projects ensuring alignment with corporate goals.

The Product Manager will connect stakeholders, lead product discovery, manage research tools, and integrate AI features to enhance investment research efficiency.

Lead a team to build a consumer-facing conversational AI product. Drive technical direction, oversee delivery, and ensure integration with core workflows while maintaining reliability and high user experience standards.

Lead a team developing a conversational AI product for Brex, focusing on enhancing customer financial decision-making and experience through effective engineering management.

As a Full Stack + AI Engineer, you will implement AI-driven personalization, manage data modeling, build loyalty program infrastructure, develop API layers, and collaborate across teams to optimize user engagement through technology.

The AI Engineering Manager leads a team to deliver AI solutions, manages projects, ensures compliance, and fosters team development. Responsibilities include developing technology strategy, managing solution delivery, and mentoring staff.

The role involves identifying collaboration opportunities, evaluating investments in AI and gaming, and planning business incubation strategies.

The role involves defining and executing the vision for Databricks AI, collaborating with engineering teams to develop AI products, and engaging with stakeholders to uncover new use cases.

The Senior Product Manager will define AI vision, partner with engineering, launch products, and engage with customers to innovate enterprise AI solutions.

The Director of Engineering will lead teams in building products for data and AI, driving innovation and customer value.