Top Artificial Intelligence Jobs

As an AI-Driven UI/UX Developer, you will design, develop, and implement human-centered interfaces, collaborating with AI agents to enhance user experience and performance in applications built with Vue.js and ReactJS.

The Director of Product Engineering leads AI product strategy and development, overseeing technical execution and collaboration to drive innovation and impact in AI solutions.

The VP of AI will lead NeoWork's AI strategy, ensuring adoption, developing workflows, building capabilities, and enhancing client value through AI integration.

As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.

As an Agentic AI Analyst, you'll analyze agentic AI applications, evaluate customer use cases, monitor agent performance, and support cross-functional team collaboration for customer success.

Lead the strategy and execution of AI-enabled products, collaborating with teams to improve usability and user engagement through data-driven insights.

The Senior AI Solutions Manager will identify and implement AI and automation solutions, leading projects from conception to deployment while collaborating across teams.

The Manager of AI Engineering will lead a team, drive AI initiatives, collaborate across departments, and ensure project delivery while mentoring engineers.

As a Sr. AI/ML Engineer III, you will design and implement reinforcement learning algorithms, integrate them into simulation environments, and evaluate their performance. Collaborating with engineering teams, you will ensure the maintainability and transparency of AI components while communicating results and recommendations clearly.

The Strategic Projects Lead will manage and drive AI-related projects, optimize talent deployment, improve internal processes, and enhance customer relationships in a fast-growing environment.

The AI Product Manager will lead technical partnerships and build data strategies to advance AI model development, requiring a strong entrepreneurial mindset and software engineering background.

Develop scalable applications for an AI-driven Talent Intelligence Platform, focusing on both front-end and back-end development, while integrating AI features.

The Data Engineer will build data infrastructure for AI applications, design ETL pipelines, collaborate on ML model support, and ensure data governance.

The Full Stack Software Engineer will design, build, and deploy web applications that integrate AI and ML capabilities, developing tools and APIs to enhance consumer experiences.

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

Develop and enhance GAN and diffusion-based AI technologies for image/video enhancement, focusing on efficiency while maintaining performance.

Join Arize AI as an AI Product Engineer, working on innovative AI products and tools, with a focus on coding and problem-solving alongside senior engineers.

As a Senior AI Product Engineer, you will build scalable services and front-end applications, design APIs, and enhance AI product offerings, focusing on improving user experience and collaboration with engineering teams.

The role involves defining the vision and strategy of the Outreach AI Platform, prioritizing the roadmap, collaborating with engineering and data science teams, and engaging with customers to refine AI strategies.

The Distinguished Architect, AI will define LPL's AI strategy, govern architecture for AI/ML, and contribute to AI governance, focusing on ethical and responsible AI adoption while enabling high-value use cases in wealth management.

The role involves designing and implementing AI solutions on the LPL Data Experience platform, automating governance, reconciliation, and lifecycle management processes. It requires strong collaboration, innovation, and integration of AI with UI and backend systems.

The Lead AI Engineer develops AI software products, manages the AI development process, mentors engineers, and enhances product quality. Responsibilities include building models, data management, and cross-team collaboration.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

We are seeking an AI Data Engineer to own the full data lifecycle, building systems for unstructured data and enabling autonomous AI actions.

The Growth Lead will develop and implement strategies to drive growth through the user lifecycle, partnering with cross-functional teams and leveraging AI tools for experimentation and analysis.