Top Artificial Intelligence Jobs

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.

As a Senior AI Product Engineer at Poggio, you will build scalable platforms, collaborate with teams, and drive product initiatives to deliver AI-driven customer value.

The Applied AI Lead will develop go-to-market strategies, produce technical marketing materials, and collaborate with teams to promote Tellius' AI capabilities.

Lead and strategize AI and Data solutions within healthcare, managing projects, client relationships, business development, and mentoring teams.

As an AI Engineer, lead the design and implementation of AI solutions in life sciences, focusing on model development, explainability, and collaboration with product teams to improve processing of complex data.

Lead and deliver enterprise AI-ready data platform transformations: design cloud-native architectures, prototype AI-assisted pipelines, embed governance and compliance, mentor teams, and partner with executives to modernize data systems for real-time analytics and AI use cases.

Lead end-to-end onboarding for enterprise customers: run discovery, design solutions, configure systems, build integrations, manage escalations, adopt AI-driven workflows, and drive go-lives ensuring fast customer value.

The Integration Engineer will build enterprise integrations for AI platforms with Microsoft Graph, focusing on API integration, security, and performance optimization.

The Integration Engineer develops enterprise integrations for AI systems using Microsoft Graph API, ensuring secure authentication and data flows while collaborating with senior engineers for production code implementation.

Lead the Customer Success Team to drive adoption and enablement of Labs capabilities among consultants, ensuring measurable business impact and user engagement.

The role involves building and maintaining data infrastructure, conducting advanced analytics, and developing AI-enabled systems to drive insights for grantmaking for social change.

The Head of Customer Success leads a team to enhance consultant adoption of AI tools, drive performance metrics, and advocate for user feedback, while also managing operations and support.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.