Top Artificial Intelligence Jobs

The AI Infrastructure Engineer will design and operate data and compute systems, manage GPU infrastructure, and develop data pipelines for machine learning models.

The Senior Software Engineer leads backend system development, mentors team members, and collaborates cross-functionally to deliver high-quality APIs and applications.

Lead product management for AI tools in software/SaaS, manage product lifecycle, drive strategic roadmap, and ensure product adoption through iterative shipping and user feedback.

The Senior Software Engineer will lead frontend development of significant projects, mentor junior engineers, and ensure high-quality UI solutions using React and TypeScript while collaborating with cross-functional teams.

The Software Engineer II - AI will lead backend development projects, build and maintain scalable APIs, mentor junior engineers, and influence engineering practices while working within the .NET ecosystem.

As a QA Engineer, you will ensure the quality of AI features, design test strategies, maintain automated pipelines, and collaborate on quality metrics.

As an Applied AI Engineer, you will develop full-stack AI features, improve AI infrastructure, and work with LLM APIs in a fast-paced fintech environment.

The AI Automation Intern will design and deploy AI automations, build tools, evaluate AI models, and create dashboards while working directly with the founding partner.

The role involves developing governance frameworks for Microsoft Copilot and Power Platform, ensuring security and compliance, and training citizen developers while monitoring operational governance across multiple regions.

The role involves enabling enterprise-wide adoption of Microsoft AI and Automation tools, developing scalable platforms, and ensuring compliance with regulations. Responsibilities include platform strategy, architecture, agent development, and governance in a highly regulated financial environment.

The AI Platform Engineer designs and operates the Microsoft Power Platform ecosystem, delivering AI-driven business solutions and custom integrations while ensuring security and compliance.

The internship focuses on implementing AI to enhance business operations, involving practical experience with GenAI, teamwork, and skill development through projects and training.

The Staff Software Engineer will design and build intelligent front-end interfaces, backend services for AI solutions, mentor engineers, and collaborate with global teams to enhance enterprise-grade AI experiences.

Lead development of AI-powered solutions, architect large language models, capture domain knowledge, and deliver client-focused insights. Manage a team to integrate AI capabilities across products.

The role involves identifying AI opportunities, implementing AI solutions, managing change, training users, and ensuring responsible AI use within organizations.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions on-site, collaborating with engineering teams to operationalize AI systems across multi-cloud platforms.

The Director of AI Engineering will lead AI model development, manage teams, engage with clients, and establish engineering standards to ensure impactful AI solutions.

The Staff Software Engineer will design and develop scalable cloud services, focusing on AI infrastructure, with hands-on system architecture, mentoring, and engineering culture shaping responsibilities.

As a Software Engineer, you'll enhance AI applications for enterprise customers, develop full-stack solutions, and collaborate closely on product quality and user experience.

As an Applied AI Engineer, you'll develop production-grade AI agents within enterprise environments, collaborating closely with customers and internal teams to enhance workflows and performance.

The Senior Applied AI Engineer will develop AI-driven solutions for enterprise customers, embedding directly with them, owning full stack AI delivery, and iterating on performance. Responsibilities include defining solutions, building production-grade agents, conducting evaluations, and establishing best practices.

The Senior Product Manager will lead the development of platforms for creating RL environments efficiently, collaborating across teams to improve workflows and quality. Responsibilities include defining product roadmaps, enhancing operator tooling, and measuring success metrics.

The role involves leading the AI Deployment Engineering team, supporting startups in moving from experimentation to production using OpenAI technologies. Responsibilities include mentoring, technical guidance, and partnership with Sales, ensuring quality support for a diverse customer base.

The Enterprise Applied AI Engineer builds internal applications for enterprise operations, designs data architecture and workflows, and collaborates on systems integration.

As an AI Transformation Lead, you will manage end-to-end AI program initiatives, drive deployment in functions, and ensure adoption across the organization.