Top Artificial Intelligence Jobs

Lead the design of intelligent systems for scientific simulations, including architecting LLM-based agents, developing reinforcement learning loops, and building robust orchestration pipelines for experimental R&D.

The Director of IT - Data & AI builds and operates data platforms and analytics ecosystems, drives modernization, and leads AI initiatives to transform business processes.

The Chief of Staff will partner with the CEO to manage various startup operations, driving initiatives across product, sales, and customer success while launching a new AI product.

As an AI Infrastructure Engineer, you will design and operate systems for AI products, focusing on high-concurrency inference and data pipelines using technologies like Python, Rust, and Kubernetes, ensuring reliability under load.

Manage customer relationships and ensure satisfaction, drive AI deployment, gather feedback for product enhancement, and shape customer success strategies.

As a Product Management Intern, you will work with the CEO and CTO on market research, user insights, and product requirements in AI-driven FinTech.

The AI Platform Engineer designs and builds systems for AI agent infrastructure and performance evaluation, driving AI capabilities for incident management.

The AI Solution Manager role involves leading the development and deployment of AI solutions for Federal clients, focusing on driving adoption, managing teams, and transforming business challenges into AI-powered solutions.

Develop and integrate scalable full-stack applications using various technologies, including AI models. Collaborate with teams for optimal performance and user experience.

The AI Solution Manager role involves developing AI solutions for Federal clients, leading multi-disciplinary teams, and driving AI adoption to solve critical business challenges.

As a Founding Senior Full Stack Software Engineer, you'll design and scale a SaaS platform using modern technologies while mentoring the engineering team.

Lead design and implementation of scalable backend services for AI applications, collaborating with AI/ML engineers, mentoring peers, and ensuring code quality.

The Digital Product Designer for AI leads UX initiatives, collaborates with Agile teams, influences product strategy, and enhances design culture within Aras, focusing on AI-powered experiences.

The role involves developing data use cases, building predictive models, analyzing large datasets, and collaborating with stakeholders in supply chain domains.

Lead the AI development at HouseAccount by designing, prototyping, and deploying intelligent systems that automate home services. Collaborate with product and growth teams to enhance workflow efficiency using AI technologies and frameworks.

The Lead Software Engineer, AI Planning designs and develops AI planning algorithms, integrating them into products and processes with a strong focus on task scheduling and systems architecture.

Design, develop, and optimize hardware architecture for next-gen AI memory solutions, ensuring seamless HW/SW integration and performance analysis.

The AI/HPC System Architect will design advanced AI and HPC systems, leveraging memory solutions, guiding architecture, and collaborating with stakeholders for proof of concept.

The Sales Specialist drives growth for OneStream's SensibleAI portfolio by executing business plans, leading AI solution evaluations, and fostering customer relationships while achieving sales targets.

The AI Engineer will build AI-powered solutions, enhance user interfaces, manage UI/UX processes, and collaborate with teams to deliver quality products.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The AI Innovation Leader is responsible for driving advanced AI/ML technologies in product development, enhancing AI maturity and operational efficiency across systems.

As an Applied AI Engineer, you will create AI systems for Governance, Risk, and Compliance, focusing on accuracy, innovation, and responsible design.

Lead AI-driven product development, manage client relationships, guide technical direction, and ensure delivery on strategic objectives while leading offshore teams.

Lead integration of AI solutions within HR, shape HR technology future, manage AI-driven strategies, and collaborate closely with HR leaders to enhance workforce efficiency.