Top Artificial Intelligence Jobs

Lead the delivery of AI/GenAI solutions, focusing on technology product management in data analytics and insights for pharma operations.

The role involves managing AI and GenAI product development, leading technical teams, and delivering impactful analytics solutions in healthcare, emphasizing project management and collaboration with diverse teams.

Design, develop, and optimize oneDNN features and algorithms for Intel CPUs and GPUs. Perform low-level performance analysis, assembly-level tuning, multithreading and vectorization, collaborate across teams, and engage with the open-source community.

The role involves shaping AI strategies for employee tools and platforms, enhancing productivity, and driving enterprise adoption of AI capabilities across various business functions.

The Senior Manager will lead the technical strategy for marketing automation and AI solutions, manage a team, and design scalable platforms for internet and email campaigns, while integrating AI native patterns.

Lead and manage a team developing enterprise-grade Generative AI platforms, providing technical direction and fostering continuous improvement. Drive platform strategy, ensuring compliance, scalability, and innovation while collaborating with cross-functional teams.

Lead financial analytics and AI-driven transformation; develop advanced financial models, oversee implementation of AI solutions, and drive enterprise adoption to enhance decision-making.

The Sr. Director Analyst will provide research and advisory on procurement technology, guiding clients in vendor selection, digital transformation, and implementing effective change management in procurement processes.

You will audit GTM workflows, design AI workflows, maintain AI context layers, train teams on AI tools, and integrate solutions within RevOps.

Lead architecture and hands-on development of a scalable, secure AI-enabled platform. Manage and mentor engineering team, define technical strategy, implement MLOps/CI-CD, deploy LLM-powered systems, ensure data governance and responsible AI practices, and collaborate with product and business stakeholders to deliver production-grade features.

Lead architecture, development, deployment, and monitoring of generative AI applications. Build ML pipelines, model optimization (LoRA/QLoRA), guardrails, monitoring, and onboarding frameworks. Collaborate with product and data teams, mentor engineers, ensure production reliability, and drive feature development.

The AI Solutions Engineer at Cook Medical develops production-grade AI systems, collaborating widely, integrating with enterprise data, and ensuring ethical compliance.

The AI Solutions Architect will design AI systems, lead technical projects, collaborate with teams, and ensure compliance and performance standards are met.

This role involves leading AI initiatives, providing technical leadership, developing AI strategies, ensuring ethical practices, and collaborating across teams to maximize AI impact.

Design and prototype AI solutions for media, create content workflows, build creative assistants, develop conversational agents, and run experiments.

Design, develop, and productionize applied AI systems (RAG, LLM integrations, orchestration, agentic workflows). Ensure safe, reliable outputs with guardrails and monitoring, prototype and scale solutions, mentor engineers, collaborate cross-functionally, run experiments, and maintain testing, documentation, and production support.

Interns will work on AI/ML research in sleep fitness, building prototypes, validating data, and collaborating with a cross-functional team. Expect hands-on mentorship and opportunities for publication.

Lead and grow an Applied AI team to fine-tune and deploy large models for production products. Own end-to-end model customization, evaluation frameworks, inference endpoints, cross-functional partnerships, technical standards, incident response, and hiring/mentorship to deliver safe, reliable AI services.

The Technical Writer will document AI/ML systems and algorithms, create user guides, and collaborate with R&D teams to enhance knowledge sharing and innovation.

The Research Engineer will design and implement innovative approaches to marketing measurement, build production systems, and develop algorithms to solve complex marketing attribution problems.

The AI Agent Engineering Intern will design and develop autonomous AI agents, integrating them with scalable applications while collaborating across teams to enhance capabilities and performance.

Lead design, integration, and delivery of Agentic and Generative AI solutions in a Microsoft 365 ecosystem. Define enterprise AI architecture, partner with stakeholders to translate business needs into scalable AI-enabled systems, oversee deployments, ensure governance and security, and drive POCs and scaling across the organization.

The Automations & AI Specialist will enhance customer support using AI tools, optimize workflows, and analyze data to improve efficiency in product support.

This role involves leading global marketing campaigns for Plaud's software and AI products, collaborating with various teams, and using data to optimize performance.

Design, develop, and deploy production-grade AI/ML systems for mission customers. Build models (NLP, CV, anomaly detection), data pipelines, and operationalize models into resilient, scalable platforms within DevSecOps environments while collaborating with cross-functional teams.