Top Artificial Intelligence Jobs

The role focuses on driving AI adoption, managing customer relationships, and ensuring successful onboarding while collaborating cross-functionally to deliver measurable business impact.

The Strategic AI Customer Success Manager will drive AI adoption for strategic customers, ensuring successful onboarding and ongoing engagement while managing complex relationships.

The Strategic AI Customer Success Manager will enhance organizational AI adoption, drive customer success plans, and ensure seamless onboarding and activation for strategic clients, focusing on measurable business impact and deep engagement.

Drive AI adoption for strategic customers, ensuring successful onboarding and activation. Guide organizations through deployment, focusing on relationships, activation frameworks, and measurable impacts. Collaborate cross-functionally with teams to enhance customer journeys and build advocate networks.

The role involves developing new user-facing features for LangSmith, optimizing components, and collaborating with developers and designers to enhance usability.

Lead the technical architecture and implementation for LangSmith, collaborating with teams, mentoring juniors, and ensuring code quality.

The AI Software Engineer will design, deploy, and optimize LLM-powered systems, integrating AI solutions with hardware engineering teams to improve operational efficiency, using Python and cloud technologies.

The Lead AI Researcher will develop new AI capabilities, lead a small team, and transform research problems into practical systems to automate legal processes.

The AI Engineer role involves optimizing language models for fraud detection and building backend infrastructure to support scalable operations for risk management and as well as developing efficient machine learning solutions.

The Applied ML Engineer at Ideogram will turn generative models into production features, collaborate with teams to define metrics, and ensure ML systems' reliability.

Develop and integrate AI solutions for government customers, focusing on machine learning and deep learning technologies. Collaborate with teams and mentor juniors while providing technical reports.

The Marketing Ops AI Manager designs and optimizes AI systems to enhance marketing operations efficiency, data quality, and campaign performance. Responsibilities include developing AI strategies, managing workflows, and training teams on AI applications.

The engineer will improve the reliability and scalability of AI systems, refactor code, resolve distributed system issues, and work with ML researchers.

Design, build, and deploy machine learning and generative AI systems, transforming prototypes into production systems while collaborating with technical teams.

The Ontology Engineer will design and implement semantic models for a new data platform, ensuring data interoperability and collaboration with AI teams.

The Data Scientist will lead research to enhance AI agents' capabilities through model development, data analysis, and collaboration with cross-functional teams.

The intern will support market outreach, conduct customer discovery, gather insights, and help shape business development strategies for an AI product.

Assist in driving adoption of AI tools by running experiments, shaping messaging, and supporting market expansion efforts.

The AI Engineer Trainee Program offers hands-on experience in AI product development, focusing on LLMs, prompt engineering, and backend development. Trainees will work with AI coding tools and frameworks while developing scalable applications.

Lead AI product initiatives, collaborating with cross-functional teams to define product vision, manage development, and ensure ethical AI use. Drive innovation in home security with a focus on customer needs and business goals.

The Product Manager, AI will drive decisions and features related to AI-assisted app building, ensuring users can effectively use Airtable's capabilities.

The Backend Engineer for AI will develop AI-powered features, solving complex problems, collaborating with teams, and delivering impactful products.

As an AI Engineer, you will develop and optimize AI systems, focusing on LLM integration, vector databases, and RAG pipelines, collaborating with various teams to ensure cutting-edge performance.

As Director of AI/ML, lead the ML organization, set technical vision, mentor a high-performing team, and contribute to model development and production deployment.

As an AI Platform Engineer, you will design and develop AI-driven backend solutions, optimize performance, and collaborate with customers and teams.