Top Artificial Intelligence Jobs

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.

Design and implement AI-native backend infrastructure, build high-throughput systems for machine learning, and collaborate across teams to enhance AI applications.

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.

The AI Marketing Automation & Digital Manager drives digital marketing initiatives using AI tools, focusing on optimizing campaigns, content production, and cross-team collaboration to improve demand generation and customer engagement.

As a Senior ML Engineer, you'll design, develop, and deploy ML models for product features, collaborate with teams, and drive research initiatives.

Design, develop, and implement AI/ML models, manage AI solutions on cloud platforms, and collaborate with teams to optimize models.

The AI Search Engineer will design and implement Azure AI Search solutions, create search experiences using semantic ranking and vector search, and develop user-friendly interfaces for legal tech.

Researcher will adapt foundation models for real-world applications, focusing on performance, alignment, and human-centric objectives to optimize AI systems for enterprises.

The Applied AI Researcher will design complex AI systems, integrate diverse components, and innovate in the utilization of AI for enterprise workflows. They will also conduct research on system interactions and workflows while building prototypes and demonstrating AI capabilities.

The Applied AI Researcher will explore new AI system architectures, develop prototypes, analyze data, and redefine human-AI collaboration for enterprise applications.

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

The Solutions Engineer will drive the adoption of AI-powered solutions in the electric utility sector, providing technical consulting and customer enablement. Responsibilities include gathering requirements, architecting solutions, leading RFI/RFP processes, and delivering training. Extensive travel is required for client engagement.

The Applied AI Researcher will design benchmark frameworks, conduct statistical evaluations, and leverage AI to redefine enterprise software usage and measure intelligent system performance.

The Applied AI Researcher will design self-improving systems that evaluate and enhance performance through feedback and self-modeling. The role demands a creative approach to redefine software usage, focusing on continuous learning and improvement using advanced AI techniques.

As a Senior Machine Learning Engineer, you'll enhance Moveworks' NLU and AI capabilities, improve user experiences, and develop innovative solutions using machine learning and advanced NLP techniques.

As a Senior Software Engineer II, you will optimize a Generative AI product, focusing on scalability, API design, and collaboration with cross-functional teams.

As a Senior Machine Learning Engineer, you'll enhance NLU capabilities, design algorithms, and push AI performance while ensuring responsible AI practices.

In this role, you will lead the development of AI-driven products, collaborating with cross-functional teams to innovate and implement scalable features using cutting-edge technologies.

Develop and optimize AI-driven solutions for healthcare automation, integrating features, and collaborating with engineers to address business needs.

The Marketing Intern will support the AI/LLM Indexing Program by executing content, PR, and SEO initiatives, ensuring visibility and citation in AI platforms.

The Lead Data Engineer will manage the AI Data Platform, scale data pipelines, ensure data quality, and lead technical strategy for data initiatives.

Design and build data pipelines and ML infrastructure, optimizing data flow and ensuring quality. Collaborate on deploying AI models and systems, applying MLOps practices.

Design and analyze circuits for AI silicon, focusing on circuit design, power simulations, and optimizing performance.

As an AI and Technology Consultant, you'll drive strategic initiatives using technical and business expertise, collaborating with clients from C-suite to shop floor.

The AI and Technology Consultant will provide strategic guidance to clients on technology initiatives, focusing on cloud strategies, software development, and Agile transformation.